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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 2588. Отображено 100.
21-06-2012 дата публикации

Method and system for image search

Номер: US20120158784A1
Автор: Alexander Dubinsky, Sergey Porotsky, Zigmund Bluvband
Принадлежит: Individual

A method and system for image search, the method comprising: receiving an indication regarding at least one feature of at least one image from a collection of images; creating an updated search algorithm according to the indication; and providing an updated collection of images by using the updated search algorithm.

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Номер записи: 1
05-07-2012 дата публикации

Methods and apparatus for retrieving images from a large collection of images

Номер: US20120173549A1
Автор: Ara V. Nefian, Carole Dulong, Igor V. Kozintsev, Jean-Yves Bouguet, YI WU
Принадлежит: Individual

A processing system may receive an example image for use in querying a collection of digital images. The processing system may use local and global feature descriptors to perform a content-based image comparison of the digital images with the example image, to automatically rank the digital images with respect to similarity to the example image. A local feature descriptor may represent a portion of the contents of a digital image. A global feature descriptor may represent substantially all of the contents of that digital image. The global feature descriptor may be content based, not keyword based. Intermediate and final classifiers may be used to perform the automatic ranking. Different intermediate classifiers may generate intermediate relevance metrics with respect to different modalities. The final classifier may use results from the intermediate classifiers to produce a final relevance metric for the digital images. Other embodiments are described and claimed.

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Номер записи: 2
26-07-2012 дата публикации

Image processing device, image processing method and program

Номер: US20120188283A1
Автор: Takeshi Ohashi
Принадлежит: Sony Corp

An image processing device includes: a first feature amount extraction unit configured to extract a first feature amount from an image; a position detection unit configured to detect observation positions from the image based on a position detection dictionary, and the first feature amount extracted from the image; a second feature amount extraction unit configured to extract a second feature amount from the observation position; an observation-order determining unit configured to determine the order of observing the observation positions based on an order generation dictionary, and respective second feature amounts of the observation positions; and an image generation unit configured to generate observation images for displaying the observation positions in the observation order based on the image, the detected observation positions and the determined observation order.

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Номер записи: 3
23-08-2012 дата публикации

Methods and apparatus related to gate boundaries within a data space

Номер: US20120215487A1
Автор: David C. Spellmeyer, Santosh K. Putta, Steven C. Banville
Принадлежит: Nodality Inc

In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.

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Номер записи: 4
06-09-2012 дата публикации

Empirical data modeling

Номер: US20120226643A1
Автор: Jeffrey Brian Adams
Принадлежит: Neural ID LLC

Methods, apparatuses and systems directed to pattern identification and pattern recognition. In some particular implementations, the invention provides a flexible pattern recognition platform including pattern recognition engines that can be dynamically adjusted to implement specific pattern recognition configurations for individual pattern recognition applications. In some implementations, the present invention also provides for a partition configuration where knowledge elements can be grouped and pattern recognition operations can be individually configured and arranged to allow for multi-level pattern recognition schemes.

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Номер записи: 5
08-11-2012 дата публикации

Electronic apparatus and image display method

Номер: US20120281888A1
Автор: Kenichi Tabe
Принадлежит: Toshiba Corp

According to one embodiment, an electronic apparatus includes a viewer image generating module, a viewer recognition module, a group extraction module, and an image display module. The viewer image generating module generates an image of a viewer by capturing the image of the viewer. The viewer recognition module detects a face image in the generated image and recognizes the viewer corresponding to the detected face image. The group extraction module extracts, from a plurality of groups each including still images, groups including at least one of a still image including the face image of the viewer and a still image imported by the viewer. The image display module displays still images in the extracted groups on a screen.

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Номер записи: 6
07-03-2013 дата публикации

Image processing system providing selective arrangement and configuration for an image analysis sequence

Номер: US20130058524A1
Автор: Avrum Isaac COHEN, Dihui Hong
Принадлежит: Molecular Devices LLC

A computer-implemented method of processing a selected image using multiple processing operations is provided. An image analysis sequence having multiple processing steps is constructed. The image analysis sequence is constructed in response to receipt of multiple processing operation selections. Individual processing steps in the image analysis sequence are associated with a processing operation that is indicated in a corresponding processing operation selection. The processing steps are arranged in response to receipt of arrangement information that relates to a selective arrangement of the processing steps. At least one of the processing steps in the image analysis sequence is configured such that the processing operation associated with the processing step processes a specified input image to generate an output image when the processing step is performed. A display signal is generated for display of the output image at a display device.

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Номер записи: 7
25-04-2013 дата публикации

Image analysis

Номер: US20130101199A1
Автор: Simon Laurence John Stubbs, Yuriy Alexandrov
Принадлежит: GE Healthcare UK Ltd

A first aspect of the invention relates to an apparatus 100 for genotoxicological screening. The apparatus 100 comprises a processor 114 for analysing images. The processor 114 is configured to provide an identifier module 115 for identifying target cells in an image and a dynamically modifiable classifier module 116 for classifying the identified cells in accordance with one or more phenotype, such as micronuclei, for example. The processor 114 is also configured to provide a scoring module 117 for assigning respective confidence measurements to the classified cells. Various aspects and embodiments of the invention may be used, for example, to provide for improved reliability and accuracy when performing automated high-throughput screening (HTS) drug assays.

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Номер записи: 8
18-07-2013 дата публикации

Interactive and automated tissue image analysis with global training database and variable-abstraction processing in cytological specimen classification and laser capture microdissection applications

Номер: US20130182922A1
Автор: David H. Kil
Принадлежит: Life Technologies Corp

A system and method for performing tissue image analysis and region of interest identification for further processing applications such as laser capture microdissection is provided. The invention provides three-stage processing with flexible state transition that allows image recognition to be performed at an appropriate level of abstraction. The three stages include processing at one or more than one of the pixel, subimage and object levels of processing. Also, the invention provides both an interactive mode and a high-throughput batch mode which employs training files generated automatically.

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Номер записи: 9
08-08-2013 дата публикации

Image-monitoring device and method for ssearching for objects therefor

Номер: US20130201333A1
Автор: Hyounghwa Yoon, Jaeshin Yu, Sungjin Kim, Youngkyung Park
Принадлежит: LG ELECTRONICS INC

Disclosed are an image monitoring device capable of searching an object on the basis of a statistical model with respect to the characteristics of an object detected from a monitored image to thereby provide an object search function resistant to a variation in the characteristics of an object according to a monitoring environment, and a method for searching an object thereof. The method for searching an object by an image monitoring device, including: displaying a characteristic value of an object detected from a monitored image and a detection frequency of an object having the characteristic value on a first region; searching a frame, in which an object having a characteristic value selected from characteristic values displayed on the first region is detected, from the monitored image; and displaying the searched frame in a second region.

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Номер записи: 10
31-10-2013 дата публикации

Systems and methods for performing quality review scoring of biomarkers and image analysis methods for biological tissue

Номер: US20130287283A1
Автор: Alberto Santamaria-Pang, Brion Daryl Sarachan, Jens Rittscher, Vidya Pundalik Kamath
Принадлежит: General Electric Co

Exemplary embodiments include methods, systems, and devices for enabling users to provide quality scores for indicating the quality of image analysis methods performed on images of biological tissue. An exemplary user interface displays results of an image analysis method performed on an image of biological tissue in an overlaid manner on an image of biological tissue. The exemplary user interface enable a user to provide, directly on the user interface, one or more quality scores to indicate the user's assessment of the quality of the image analysis performed on the image. Exemplary embodiments store the quality scores provided by the user in association with the image analysis method and the image of biological tissue.

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Номер записи: 11
07-11-2013 дата публикации

Image processing architectures and methods

Номер: US20130295894A1
Автор: Geoffrey B. Rhoads, Tony F. Rodriguez
Принадлежит: Digimarc Corp

Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality is improved, and new functionality is provided. Some aspects relate to imaging architectures, in which a cell phone's image sensor is one in a chain of stages that successively act on instructions/data, to capture and later process imagery. Other aspects relate to distribution of processing tasks between the device and remote resources (“the cloud”). Elemental image processing, such as filtering and edge detection—and even some simpler template matching operations—may be performed on the cell phone. Other operations are referred out to remote service providers. The remote service providers can be identified using techniques such as a reverse auction, though which they compete for processing tasks. Other aspects of the disclosed technologies relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Still others concern metadata generation, processing, and representation. A great number of other features and arrangements are also detailed.

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Номер записи: 12
26-12-2013 дата публикации

Detecting facial similarity based on human perception of facial similarity

Номер: US20130343643A1
Автор: ALSPECTOR Joshua, Andrew Zisserman, Holub Alex, Keren O Perlmutter, Mark Everingham, Perona Pietro, Sharon M Perlmutter
Принадлежит: AOL Inc

Similar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information. Similarity information may be generated from information related to a human perception of facial similarity. Images that include faces determined to be similar, based on the similarity information, may be provided to the user as search result images. The user then may provide feedback to indicate the user's perception of similarity between the query face and the search result images.

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Номер записи: 13
20-02-2014 дата публикации

Automated Inspection Scenario Generation

Номер: US20140050389A1
Автор: Ajay Gupta, Ashok Kulkarni, Chien-Huei (Adam) Chen, Ernesto ESCORCIA, Eugene Shifrin, Govind Thattaisundaram, Jason Kirkwood, Mohan Mahadevan, Songnian Rong
Принадлежит: KLA Tencor Corp

Methods and systems for determining inspection scenarios without input from a user are presented. Inspection scenarios include at least one acquisition mode, defect detection parameter values, and classification parameter values. In one example, a number of defect events are determined by a hot inspection of a wafer surface. The defect events are classified and attributes associated with each defect event are identified. The defect events are labeled with this information. Based on the identified attributes and classification, inspection scenarios are determined. The inspection scenarios are solutions in a mathematical space formed by the identified attributes. In some examples, a plurality of inspection scenarios are determined and a desired inspection scenario is selected from the plurality based on the number of defects of interest and the number of nuisance events captured by the selected inspection scenario.

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Номер записи: 14
05-01-2017 дата публикации

Hand-gesture input

Номер: US20170003746A1
Автор: Cheng Xu, Debbie A. Anglin, Quan W. ZHANG, Su Liu
Принадлежит: International Business Machines Corp

The present disclosure provides an apparatus for efficiently providing character-based languages (e.g., Chinese, Japanese, and/or Korean) into portable electronic devices (e.g., smartphones, smartwatches, smartglasses, etc.). An example apparatus includes an input device configured to receiving a sequence of hand-qesture inputs and a a processor that performs operations for generating input for an electronic device corresponding to characters. The operations include detecting a pattern corresponding to each hand-gesture input in the sequence; determining a sequence of numeric values that correspond to the sequence of hand-gesture inputs based on the detected patterns; and as each input in the sequence of hand-gesture inputs is received, determining a list of one or more characters to display based, at least in part, on the sequence of numeric values and an index of characters.

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Номер записи: 15
04-01-2018 дата публикации

Information processing apparatus, method and computer program product

Номер: US20180005089A1
Автор: Quoc Viet Pham
Принадлежит: Toshiba Corp

According to an embodiment, an information processing apparatus includes a memory and processing circuitry. The processing circuitry configured to acquire an input image captured by an image-capturing device installed in a specific location. The processing circuitry configured to perform adaptation processing of adapting an estimation model, which is used for detecting positions or the number of objects contained in an image, to the specific location by sequentially selecting a parameter of the estimation model from a lower level toward a higher level, and by modifying the selected parameter in such a manner to reduce an estimation error in the positions or the number of the objects contained in the input image. The processing circuitry configured to acquire a termination condition for the adaptation processing. The processing circuitry configured to terminate the adaptation processing when the termination condition is satisfied.

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Номер записи: 16
02-01-2020 дата публикации

Some automated and semi-automated tools for linear feature extraction in two and three dimensions

Номер: US20200005017A1
Автор: Jacek Grodecki, Josh Nolting, Seth Malitz
Принадлежит: DigitalGlobe Inc

A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.

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Номер записи: 17
03-01-2019 дата публикации

Alert volume normalization in a video surveillance system

Номер: US20190005806A1
Автор: Kishor Adinath Saitwal, Wesley Kenneth Cobb
Принадлежит: Omni AI Inc

Techniques are disclosed for normalizing and publishing alerts using a behavioral recognition-based video surveillance system configured with an alert normalization module. Certain embodiments allow a user of the behavioral recognition system to provide the normalization module with a set of relative weights for alert types and a maximum publication value. Using these values, the normalization module evaluates an alert and determines whether its rareness value exceed a threshold. Upon determining that the alert exceeds the threshold, the module normalizes and publishes the alert.

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Номер записи: 18
20-01-2022 дата публикации

Gesture Recognition Using Multiple Antenna

Номер: US20220019291A1
Автор: Ivan Poupyrev, Jaime Lien, Nicholas Edward Gillian
Принадлежит: Google LLC

Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

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Номер записи: 19
20-01-2022 дата публикации

Home ui system for managing digital ink

Номер: US20220019781A1
Автор: Mu-Tzu CHEN, Nobutaka Ide, Peter Bächer, Philipp Daniel SCHONGEN, Sadao Yamamoto
Принадлежит: Wacom Co Ltd

A home user interface (UI) system for managing digital ink is provided. The home UI system includes a plurality of state sensors capable of detecting a state in a house or a change in the state, and a plurality of home-use devices that are provided in the house or that form part of the house and that each include a handwriting sensor capable of detecting handwriting made by a person. The home UI system further includes one or more notification units that are configured to notify the person of the existence of the home-use device or a detectable region of the handwriting sensor of the home-use device. The home UI system further includes a controller which, when it is determined that a notification is necessary from a detection result of one or more of the state sensors, instructs at least one of the notification units to carry out the notification.

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Номер записи: 20
09-01-2020 дата публикации

Systems and methods to improve data clustering using a meta-clustering model

Номер: US20200012886A1
Автор: Anh Truong, Austin Walters, Jeremy Goodsitt, Reza Farivar
Принадлежит: Capital One Services LLC

Systems and methods for clustering data are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving data from a client device and generating preliminary clustered data based on the received data, using a plurality of embedding network layers. The operations may include generating a data map based on the preliminary clustered data using a meta-clustering model. The operations may include determining a number of clusters based on the data map using the meta-clustering model and generating final clustered data based on the number of clusters using the meta-clustering model. The operations may include and transmitting the final clustered data to the client device.

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Номер записи: 21
09-01-2020 дата публикации

Image annotating method and electronic device

Номер: US20200012888A1
Автор: Ning Wang, Shiguo Lian, Yibing NAN, Zhaoxiang Liu
Принадлежит: Cloudminds Shenzhen Robotics Systems Co Ltd

An image annotating method includes: acquiring an image collected at a terminal; acquiring voice information associated with the image; annotating the image according to the voice information; and storing an annotated result of the image.

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Номер записи: 22
09-01-2020 дата публикации

Systems and methods for hyperparameter tuning

Номер: US20200012935A1
Автор: Anh Truong, Austin Walters, Fardin Abdi Taghi Abad, Jeremy Goodsitt, Kate Key, Mark Watson, Reza Farivar, Vincent Pham
Принадлежит: Capital One Services LLC

A model optimizer is disclosed for managing training of models with automatic hyperparameter tuning. The model optimizer can perform a process including multiple steps. The steps can include receiving a model generation request, retrieving from a model storage a stored model and a stored hyperparameter value for the stored model, and provisioning computing resources with the stored model according to the stored hyperparameter value to generate a first trained model. The steps can further include provisioning the computing resources with the stored model according to a new hyperparameter value to generate a second trained model, determining a satisfaction of a termination condition, storing the second trained model and the new hyperparameter value in the model storage, and providing the second trained model in response to the model generation request.

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Номер записи: 23
09-01-2020 дата публикации

Systems and methods to identify neural network brittleness based on sample data and seed generation

Номер: US20200012937A1
Автор: Anh Truong, Austin Walters, Galen Rafferty, Jeremy Goodsitt, Mark Watson, Vincent Pham
Принадлежит: Capital One Services LLC

Systems and methods for determining neural network brittleness are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a modeling request comprising a preliminary model and a dataset. The operations may include determining a preliminary brittleness score of the preliminary model. The operations may include identifying a reference model and determining a reference brittleness score of the reference model. The operations may include comparing the preliminary brittleness score to the reference brittleness score and generating a preferred model based on the comparison. The operations may include providing the preferred model.

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Номер записи: 24
21-01-2021 дата публикации

Systems and methods for managing meat cut quality

Номер: US20210015113A1
Автор: Amit Jhunjhunwala, Mangesh N. Kulkarni Wadhonkar, Parul Aggarwal, Peeyush Taneja, Raghav Mehta, Rahul Kumar
Принадлежит: Walmart Apollo LLC

In some embodiments, apparatuses and methods are provided herein useful to ensuring quality of meat cuts. In some embodiments, a system for ensuring quality of meat cuts comprises a capture device comprising an image capture device configured to capture an image of a cut of meat, a depth sensor configured to capture depth data, a transceiver configured to transmit the image and the depth data, a microcontroller configured to control the image capture device, the depth sensor, and the transceiver, a database configured to store meat cut specifications, and the control circuit configured to receive, from the capture device, the image and the depth data, retrieve, from the database, a meat cut specification, evaluate the image of the cut of meat and the depth data associated with the cut of meat, and classify the cut of meat.

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Номер записи: 25
03-02-2022 дата публикации

Systems and methods to optimize performance of a machine vision system

Номер: US20220036585A1
Автор: Ankan Basak, David D. Landron, James Matthew Witherspoon, Matthew Lawrence Horner
Принадлежит: Zebra Technologies Corp

Methods and systems for optimizing performance of a machine vision system are disclosed herein. An example method includes obtaining one or more first and second images of a target object, where each of the one or more first and second images include a pass indication and a fail indication, respectively. The example method further includes conducting, by a feasibility setup tool, a feasibility setup analysis by (i) performing machine vision techniques on each of the one or more first and second images and (ii) generating a respective updated result indication for each of the one or more first and second images. The example method further includes comparing the respective updated result indication to the respective pass indications and fail indications for the one or more first and second images, respectively; and based on the comparing, generating one or more suggestions to optimize the performance of the machine vision system.

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Номер записи: 26
15-01-2015 дата публикации

Information processing apparatus, information processing method, and program

Номер: US20150020014A1
Автор: Maki Mori, Osamu Shigeta, Ryo Fukazawa, Seiji Suzuki, Shunichi Kasahara
Принадлежит: Sony Corp

There is provided an information processing apparatus including an image acquiring unit configured to acquire at least one captured image; and an associating unit configured to associate a first information corresponding to a first object and a second information corresponding to a second object, wherein the acquired at least one captured image comprises at least one selectable object depicted therewithin, and at least one of the first object and the second object corresponds to a respective one or ones of the at least one selectable object.

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Номер записи: 27
04-02-2016 дата публикации

Object recognition apparatus and method for managing data used for object recognition

Номер: US20160034882A1
Автор: Yuishi TAKENO
Принадлежит: Toshiba TEC Corp

An apparatus for managing data used for object recognition includes an image capturing unit configured to capture an image of an object, a storage unit storing image data of products registered for sale, an operation panel configured to receive a user selection, and a processor configured to determine the products registered for sale that are similar to the object, based on the captured image and the image data, display the similar products on the operation panel as user selectable items, determine one or more of the similar products designated by the user selection, and invalidate the designated similar products so that efficiency of object recognition by the apparatus can be improved.

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Номер записи: 28
01-02-2018 дата публикации

Steering Seismic Texture Analysis Algorithms Using Expert Input

Номер: US20180032839A1
Автор: Alecio Pedro Delazari Binotto, Emilio Ashton Vital Brazil, Michael Raghib Moreno, Renato Fontoura De Gusmao Cerqueira, Rodrigo da Silva Ferreira, Vagner Figueredo de Santana, Viviane Torres da Silva
Принадлежит: International Business Machines Corp

A method is provided, the method including: displaying an image on a display; detect a user input corresponding to one or more portions of the image; analyzing the user input to determine at least one feature vector corresponding to the user input; and determining a classification for the one or more portions of the image based at least on the at least one feature vector.

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Номер записи: 29
17-02-2022 дата публикации

Ai-based, semi-supervised interactive map enrichment for radio access network planning

Номер: US20220051057A1
Автор: Arun Jotshi, Velin Kounev, Weiwei Duan, Yaron Kanza
Принадлежит: AT&T INTELLECTUAL PROPERTY I LP

Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature. Other embodiments are disclosed.

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Номер записи: 30
04-02-2021 дата публикации

Identity document validation method, system and computer program

Номер: US20210034862A1
Автор: Tamlyn Thompson
Принадлежит: Tripeye Ltd

A method of validating an identity document from a plurality of features extracted therefrom, wherein the features comprise a facial image and one or more personal detail elements of the identity document holder; and an identifier of an issuing authority who issued the identity document, wherein the method includes allowing an operator to define a value of a threshold for assessing the similarity of a pair of facial images, and wherein a measure of the similarity between the first facial image and the second facial image is calculated by applying a plurality of face recognition algorithms to the first facial image and the second facial image and calculating an accumulated score therefrom representing the degree of matching between the faces of the persons displayed in each facial image.

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Номер записи: 31
24-02-2022 дата публикации

Computing system for extraction of textual elements from a document

Номер: US20220058386A1
Автор: Harry Urbschat, Johannes Hausmann, Ralph Meier, Thorsten Wanschura
Принадлежит: Hyland Software Inc

Described herein are various technologies pertaining to text extraction from a document. A computing device receives the document. The document comprises computer-readable text and a layout, wherein the layout defines positions of the computer-readable text within a two-dimensional area represented by the document. Responsive to receiving the document, the computing device identifies at least one textual element in the computer-readable text based upon spatial factors between portions of the computer-readable text and contextual relationships between the portions of the computer-readable text. The computing device then outputs the at least one textual element.

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Номер записи: 32
06-02-2020 дата публикации

Portable device with image sensor and illumination system for textile classification

Номер: US20200040517A1
Автор: Aditya Mehendale, Antonius Johannes Joseph Wismans, Arnoldus Johannes Martinus Jozeph Ras, Binyam Gebrekidan GEBRE, Dmitry Nikolayevich ZNAMENSKIY, Frederik Jan De Bruijn, Harold Agnes Wilhelmus Schmeitz, Karl Catharina Van Bree, Mohankumar Valiyambath Krishnan, Orhan KAHYA, Petra BIJL, Sergio CONSOLI, Victor Martinus Gerardus Van Acht, Yao Hean CHIAH, Yong Jiang
Принадлежит: Koninklijke Philips NV

The invention relates to a portable device (1100) comprising a bottom surface (BS) intended to be in contact with a textile (TXT). The portable device comprises an image sensor (5) for taking an image of a textile, and an illumination system (6) for illuminating a portion of the textile when said image is being taken. The portable device also comprises a control unit (8a) for executing an algorithm stored in the portable device, using the taken image as an input of said algorithm, to obtain a classification of the textile. The image sensor and the control unit are integrated within the portable device. The image sensor has an active surface sensitive to light, which is oriented compared to said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees; and/or the illumination system (6) has a light source oriented compared to the said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees.

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Номер записи: 33
12-02-2015 дата публикации

Modifying binning operations

Номер: US20150046862A1
Автор: Marc David Hansen
Принадлежит: Silicon Graphics International Corp

A data visualization technique is provided with the capability of manipulating bins of data through an interactive graphical presentation of displayed data. When a histogram is generated from stored data, a user may interact directly with the histogram columns to change columns position, width and height. A user, for example, may click and drag a particular side of a bin to change the lower or upper limit of the bin, click and drag the top of a bin to change the size/height of the bin (i.e., number of data points/elements within the bin), or click and drag the center of the bin to move or reposition the bin. The techniques may be applied to other graphical representations of data as well, such as splat graphical displays of data.

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Номер записи: 34
07-02-2019 дата публикации

Filter for harmful training samples in online learning systems

Номер: US20190042953A1
Автор: David J. Piorkowski, Evelyn Duesterwald, Harold L. Ossher, Michael Desmond, Yiyun CHEN
Принадлежит: International Business Machines Corp

A computing method receives a labeled sample from an annotator. The method may determine a plurality of reference model risk scores for the first labeled sample, where each reference model risk score corresponds to an amount of risk associated with adding the first labeled sample to a respective reference model of a plurality of reference models. The method may determine an overall risk score for the first labeled sample based on the plurality of reference model risk scores. The method may further determine a probe for confirmation of the first labeled sample and a trust score for the annotator by sending the probe to one or more annotators. In response to determining a trust score for the annotator the method may add the labeled sample to a ground truth or reject the labeled sample.

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Номер записи: 35
18-02-2021 дата публикации

Automated honeypot creation within a network

Номер: US20210049054A1
Автор: Austin Walters, Jeremy Goodsitt, Kate Key, Vincent Pham
Принадлежит: Capital One Services LLC

Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.

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Номер записи: 36
25-02-2016 дата публикации

Electronic Color Processing Devices, Systems and Methods

Номер: US20160055657A1
Автор: Ilya Beyrak, Matthew Cole
Принадлежит: Bloodhound LLC

An electronic color recognition and enhancement device, system, and method aiding a user in recognition of color based patterns. The electronic color recognition and enhancement device, system, and method generally include a user device, including a processor, a visual input component, and a visual output component adapted to capture or record visual information and modify the contrast and/or color of a portion of the visual information to allow the user to recognize certain colors and/or patterns that otherwise may be difficult to recognize.

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Номер записи: 37
25-02-2021 дата публикации

Systems and methods for segmentation of intra-patient medical images

Номер: US20210056687A1
Автор: Lyndon Stanley HIBBARD, Xiao Han
Принадлежит: Elekta Inc

Embodiments disclose a method and system for segmenting medical images. In certain embodiments, the system comprises a database configured to store a plurality of medical images acquired by an image acquisition device. The plurality of images include at least one first medical image of an object, and a second medical image of the object, each first medical image associated with a first structure label map. The system further comprises a processor that is configured to register the at least one first medical image to the second medical image, determine a classifier model using the registered first medical image and the corresponding first structure label map, and determine a second structure label map associated with the second medical image using the classifier model.

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Номер записи: 38
28-02-2019 дата публикации

Deep learning-based image recognition method and apparatus

Номер: US20190065994A1
Автор: Lvwei WANG, Zhenglong Li
Принадлежит: BOE Technology Group Co Ltd

A deep learning-based image recognition method and apparatus are disclosed. The deep learning-based image recognition method comprises: training deep learning models based on deep learning frameworks, by using training image data, to obtain at least two deep learning models; selecting a predetermined number of deep learning models from the obtained deep learning models in a descending order of their recognition accuracies for verification image data, wherein the predetermined number is less than or equal to the number of the obtained deep learning models; and recognizing image data to be recognized using at least one of the selected deep learning models.

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Номер записи: 39
28-02-2019 дата публикации

Information processing apparatus, method for controlling information processing apparatus, and storage medium

Номер: US20190066333A1
Автор: Hisayoshi Furihata, Kazuhiko Kobayashi
Принадлежит: Canon Inc

An information processing apparatus comprising: at least one processor programmed to cause the apparatus to: hold label information regarding presence of a target object, the label information being set for the target object in an image; obtain a reliability of the label information; cause a display apparatus to display the label information and an image corresponding to the label information in the image, based on the reliability; accept an operation made by a user; and modify the label information based on the operation.

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Номер записи: 40
11-03-2021 дата публикации

Methods and apparatus to identify media

Номер: US20210073275A1
Автор: Jeffrey Scott, Matthew James Wilkinson, Robert Coover, Yongju Hong
Принадлежит: Citibank NA

Methods, apparatus, systems and articles of manufacture are disclosed to identify media. An example method includes: in response to a query, generating an adjusted sample media fingerprint by applying an adjustment to a sample media fingerprint; comparing the adjusted sample media fingerprint to a reference media fingerprint; and in response to the adjusted sample media fingerprint matching the reference media fingerprint, transmitting information associated with the reference media fingerprint and the adjustment.

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Номер записи: 41
11-03-2021 дата публикации

Biological tissue image processing system, and machine learning method

Номер: US20210073992A1
Автор: Hideo Nishioka, Kohki KONISHI, Mitsuo Suga
Принадлежит: Nikon Corp

A current observation area is determined exploratorily from among a plurality of candidate areas, on the basis of a plurality of observed areas in a biological tissue. A plurality of reference images obtained by means of low-magnification observation of the biological tissue are utilized at this time. A learning image is acquired by means of high-magnification observation of the determined current observation area. A plurality of convolution filters included in an estimator can be utilized to evaluate the plurality of candidate areas.

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Номер записи: 42
07-03-2019 дата публикации

Method and system for classifying objects from a stream of images

Номер: US20190073538A1
Автор: Zvi Ashani
Принадлежит: Agent Video Intelligence Ltd

A computer-implemented method and a corresponding system for classifying objects from a stream of images are presented. The method comprises: providing input data comprising data indicative of at least one image stream; processing said input data and extracting from said at least one image stream a plurality of foreground objects; classifying said plurality of objects, said classifying comprising associating at least some of said plurality of objects in accordance with at least one object type, thereby generating at least one group of objects of similar object types; and generating a training database comprising a plurality of data pieces/records, each data piece comprising image data of one of said plurality of foreground objects and a corresponding objects type. The training database is typically configured for use in training of a learning machine system.

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Номер записи: 43
15-03-2018 дата публикации

System and Method of Advising Human Verification of Often-Confused Class Predictions

Номер: US20180075368A1
Автор: Michael L. Stickler, Paul E. Brennan, Scott R. Carrier
Принадлежит: International Business Machines Corp

A method, system and a computer program product are provided for classifying elements in a ground truth training set by iteratively assigning machine-annotated training set elements to clusters which are analyzed to identify a prioritized cluster containing one or more elements which are frequently misclassified and display machine-annotated training set elements associated with the first prioritized cluster along with a warning that the first prioritized cluster contains one or more elements which are frequently misclassified to solicit verification or correction feedback from a human subject matter expert (SME) for inclusion in an accepted training set.

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Номер записи: 44
24-03-2022 дата публикации

Test case selection

Номер: US20220091967A1
Автор: A Peng Zhang, JIN Wang, Jing James Xu, Kai Li, Lei Gao, Si Er Han
Принадлежит: International Business Machines Corp

Test case selection methods are disclosed. A feature of a candidate test case and respective features of a set of test cases are extracted. The set of test cases is clustered into a plurality of clusters based on the respective features of the set of test cases. At least one cluster related to the candidate test case is determined from the plurality of clusters based on the feature of the candidate test case. At least one test case similar to the candidate test case is selected from a plurality of test cases included in the at least one cluster.

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Номер записи: 45
05-03-2020 дата публикации

Method and system for creating aesthetic design at scale

Номер: US20200074225A1
Автор: Karan BHAVSAR, Mithun B S, Pankaj Doke, Sanjay Kimbahune, Sujit SHINDE, Sylvan Lobo
Принадлежит: Tata Consultancy Services Ltd

The use of gestures are increasing frequently. Normally these gestures are disconnected with each other. Therefore, various methods have been used for creating the gestural language. The existing methods for creating gestural language is difficult to learn and lacks design aesthetics. A method and system for creating aesthetic design language using a plurality of gestures is provided. The system takes in to account of aesthetics of the generated form of gestures and the user's constraints of movement—degrees of freedom. The system is using a socio-techno system which aids the machine assisted creation of aesthetic language for gestural interactions. A grammar has also been defined for creating the gestural language based on the domain. In the final stage of the system, the grammar and the form symbols are chosen/selected/published to present the interaction language to the user.

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Номер записи: 46
18-03-2021 дата публикации

Medical evaluation system and method for use therewith

Номер: US20210082545A1
Автор: Anthony Upton, Ben Covington, Kevin Lyman
Принадлежит: Enlitic Inc

A medical evaluation system operates by: receiving a set of medical scans of a medical scan protocol captured for a patient, the set of medical scans corresponding to a proper subset of a plurality of sequence types; generating abnormality data by performing an inference function on the set of medical scans, wherein the inference function utilizes a computer vision model trained on a plurality of medical scans corresponding to the proper subset of the plurality of sequence types; calculating a confidence score for the abnormality data; generating first additional sequence data, wherein when the confidence score compares unfavorably to a confidence score threshold, the first additional sequence data indicates at least one first additional medical scan of the patient, corresponding to a first at least one of the plurality of sequence types not included in the proper subset of the plurality of sequence types, and when the confidence score compares favorably to the confidence score threshold, the first additional sequence data indicates no further medical scans of the patient; and transmitting the first additional sequence data.

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Номер записи: 47
18-03-2021 дата публикации

Heat map generating system and methods for use therewith

Номер: US20210082547A1
Автор: Anthony Upton, Ben Covington, Eric C. Poblenz, Jordan Prosky, Kevin Lyman, Li Yao, Lionel Lints
Принадлежит: Enlitic Inc

A multi-label heat map generating system is operable to receive a plurality of medical scans and a corresponding plurality of global labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the global labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Heat map visualization data can be generated for transmission to a client device based on the probability matrix data that indicates, for each of the set of abnormality classes, a color value for each pixel of the new medical scan.

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Номер записи: 48
02-04-2015 дата публикации

Cascading video object classification

Номер: US20150092054A1
Автор: Aleksey Lipchin, Dimitri A. Lisin, Igor Reyzin, Mahesh Saptharishi
Принадлежит: Avo USA Holding 2 Corp

A camera system comprises an image capturing device and an object classification module connected to the image capturing device. The object classification module is operable to determine whether or not an object in an image is a member of an object class. The object classification module includes multiple decision steps configured in a cascade configuration, wherein at least one of the multiple decision steps is operable to (a) accept an object as a member of the object class, (b) reject an object as a member of the object class, and (c) call on a next step to determine whether or not an object is a member of the object class.

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Номер записи: 49
29-03-2018 дата публикации

System, method and computer program product for fracture pattern characterization in naturally fractured reservoirs

Номер: US20180088252A1
Автор: Carlos Raoni de Alencar Mendes, Carmen Nilda Mena Paz, Matthias Kormaksson, Paul Borrel, Paulo Rodrigo Cavalin
Принадлежит: International Business Machines Corp

A fracture pattern characterization method, system, and computer program product, include classifying fracture patterns of reservoir layers using a correlation of reservoir information associated with target images and the target images extracted from a database and determining a fracture pattern characterization of a new reservoir layer input based on the classified fracture patterns.

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Номер записи: 50
05-05-2022 дата публикации

Method for determining annotation capability information, related apparatus and computer program product

Номер: US20220139097A1
Автор: XUE Yang
Принадлежит: Beijing Baidu Netcom Science And Technology Co Ltd

A method and apparatus for determining annotation capability information, an electronic device, a computer readable storage medium and a computer program product are provided. An implementation of the method includes: determining a trial annotation object according to an annotation demand for a to-be-annotated task; determining trial annotation data, according to the annotation demand and a preset trial annotation requirement; and determining a trial annotation duration according to an attribute of the trial annotation object, and determining annotation capability information of the trial annotation object according to an annotation result of the trial annotation object annotating the trial annotation data within the trial annotation duration.

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Номер записи: 51
30-03-2017 дата публикации

Computer vision as a service

Номер: US20170091590A1
Автор: Bogdan C. Matei, Harpreet Singh Sawhney, Jayakrishan Eledath, Saad Ali, Steven S. Weiner, Timothy J. Shields, Xutao Lv
Принадлежит: SRI International Inc

A computer vision service includes technologies to, among other things, analyze computer vision or learning tasks requested by computer applications, select computer vision or learning algorithms to execute the requested tasks based on one or more performance capabilities of the computer vision or learning algorithms, perform the computer vision or learning tasks for the computer applications using the selected algorithms, and expose the results of performing the computer vision or learning tasks for use by the computer applications.

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Номер записи: 52
19-03-2020 дата публикации

User interface to simulate target detection and recognition

Номер: US20200089822A1
Автор: Allan B. Liburd, Christopher M. JENGO, Matthew Goldstein, Suhail Shabbir Saquib
Принадлежит: Goodrich Corp

A method is disclosed of providing a graphical user interface (GUI) for simulating target detection and recognition. The method includes providing a user entry area for receiving user entered ground truth attributes defining one or more respective simulated physical objects, and providing a user entry area for receiving user entered collection attributes defining one or more collections, each collection being a simulation of automated target recognition applied to simulated sensor output associated with simulated sensing of the one or more simulated physical objects. The method further includes simulating detection of the one or more simulated physical objects and recognition based on the ground truth attributes and the collection attributes, generating detection data about at least one detected object based on the simulated target detection, and displaying the detection data.

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Номер записи: 53
01-04-2021 дата публикации

Information processing method and terminal device

Номер: US20210097326A1
Автор: Shaoli Liu, Shuai Hu, Tianshi CHEN, Zai WANG
Принадлежит: Shanghai Cambricon Information Technology Co Ltd

Disclosed are an information processing method and a terminal device. The method comprises: acquiring first information, wherein the first information is information to be processed by a terminal device; calling an operation instruction in a calculation apparatus to calculate the first information so as to obtain second information; and outputting the second information. By means of the examples in the present disclosure, a calculation apparatus of a terminal device can be used to call an operation instruction to process first information, so as to output second information of a target desired by a user, thereby improving the information processing efficiency. The present technical solution has advantages of a fast computation speed and high efficiency.

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Номер записи: 54
28-03-2019 дата публикации

Method and system for obtaining picture annotation data

Номер: US20190095758A1
Автор: Guang Li, Guoyi Liu, Shumin HAN
Принадлежит: Baidu Online Network Technology Beijing Co Ltd

The present disclosure provides a method and system for obtaining picture annotation data. The method comprises: obtaining a recognition result of a to-be-annotated picture; displaying the to-be-annotated picture and a corresponding recognition result on an annotation interface; using an annotator's selection of the recognition result in the annotation interface, to obtain annotation data of the to-be-annotated picture. According to the method and system for obtaining picture annotation data of the present disclosure, the annotator only needs to perform an operation of clicking the corresponding recognition result without manually inputting the name, and improves the annotation efficiency. The technical solution is particularly adapted for beforehand data preparation work of an image vertical type recognition algorithm, may substantially reduce costs of manually annotating pictures, and shorten the development cycle of picture recognition-type projects.

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Номер записи: 55
08-04-2021 дата публикации

Ultrasound diagnostic imaging training apparatus, ultrasound diagnostic imaging apparatus, identification model training method, non-transitory recording medium storing computer readable training program, and ultrasound diagnostic apparatus

Номер: US20210103773A1
Автор: Yoshihiro Takeda
Принадлежит: KONICA MINOLTA INC

An ultrasound diagnostic imaging training apparatus for training an identification model to be used for identifying a target in an ultrasound image generated based on reflected ultrasound reflected from inside a subject includes a first hardware processor that extracts a first image from the ultrasound image used for training and generates teacher data in which a feature value of a second image included in the first image is associated with information relating to a likelihood of the target, the generation of the teacher data being based on the first image and preset reference data; and a second hardware processor that trains the identification model through machine learning using the teacher data.

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Номер записи: 56
29-04-2021 дата публикации

Information processing apparatus and non-transitory computer readable medium storing program

Номер: US20210124991A1
Автор: Masanori Sekino, Satoshi Kubota, Shunichi Kimura, Yutaka Koshi
Принадлежит: Fuji Xerox Co Ltd

An information processing apparatus includes a processor configured to acquire a first recognition result and a first recognition probability on target data from a first recognizer, acquire a second recognition result and a second recognition probability on the target data from a second recognizer, execute checking of the first recognition result and the second recognition result, and execute first control in a case where the first recognition result and the second recognition result match each other as a result of the checking. The first control is control for executing either of first processing or second processing on the matched recognition result and outputting a processing result based on at least one of the first recognition probability or the second recognition probability. A human workload for the first processing is smaller than a human workload for the second processing.

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Номер записи: 57
09-04-2020 дата публикации

Electronic device for recognition of mental behavioral attributes based on deep neural networks

Номер: US20200107766A1
Автор: Ahmad Khodayari-Rostamabad, Ming-Chang Liu
Принадлежит: Sony Corp

An electronic device that handles recognition of mental behavioral, affect, emotional, mental states, mental health, or mood-based attributes based on deep neural networks (DNNs), stores a set of EEG signals and a set of bio-signals associated with a subject. The electronic device trains a plurality of first recognition models on a training set of EEG signals and a training set of bio-signals associated with different training subjects. The electronic device trains a second recognition model on a feature vector from output layers of the plurality of first recognition models. The electronic device estimates a plurality of dependency or relationship data by application of the trained plurality of first recognition models on the set of EEG signals and bio-signals. The electronic device identifies a mental behavioral attribute of the subject by application of the trained second recognition model on the plurality of signals and their relationship data.

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Номер записи: 58
09-04-2020 дата публикации

Adjusting training set combination based on classification accuracy

Номер: US20200110969A1
Автор: Austin Grant Walters, Fardin Abdi Taghi Abad, Jeremy Edward Goodsitt
Принадлежит: Capital One Services LLC

Various embodiments are generally directed to techniques of adjusting the combination of the samples in a training batch or training set. Embodiments include techniques to determine an accuracy for each class of a classification model, for example. Based on the determined accuracies, the combination of the samples in the training batch may be adjusted or modified to improve the training of the classification model.

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Номер записи: 59
05-05-2016 дата публикации

System and method for graph pattern analysis

Номер: US20160125300A1
Автор: Allison E. Miller, Chris Riccomini, Dhanurjay A.S. Patil, Grahame Andrew Jastrebski
Принадлежит: PayPal Inc

In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A reference matrix comprising a plurality of secondary network determined based on the pattern data of the primary network is generated A graphical display of the primary network and the reference matrix are displayed on a user interface. A selection of a secondary network from the plurality of secondary networks of the reference matrix is received. The selected secondary network has similar matching characteristics with at least a portion of the primary network. In response to the selection, the primary network is classified as a classification type related to the selected secondary network.

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Номер записи: 60
25-08-2022 дата публикации

Camera-enabled machine learning for device control in a kitchen environment

Номер: US20220268523A1
Автор: Akshita Iyer, Ranjith BABU
Принадлежит: Inirv Labs Inc

A cooking control system accesses a set of training data used to train a machine learned model configured to detect smoke in a kitchen environment based on image data of a stovetop. The cooking control system receives real-time image data of a stovetop from a camera in the kitchen environment and applies the machine learned model to the image data to determine a likelihood that the image data includes smoke. If the cooking control system determines that the received images contain smoke, the cooking control system may perform one or more actions, such as disabling operation of the stovetop and sending an alert indicative of smoke to a user of he cooking control system or a local emergency department.

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Номер записи: 61
16-04-2020 дата публикации

Determining differences in documents to generate a visualization highlighting the differences between documents

Номер: US20200117893A1
Автор: Amit Joneja, Gregory J. Koestler, Paul C. Jones, Phillip Whelan
Принадлежит: International Business Machines Corp

Provided are a computer program product, system, and method for determining differences in documents to generate a visualization highlighting the differences between documents. Name-value pairs are extracted for objects in a first document. The objects include code to control rendering of content in the first document in a graphical user interface (GUI). Each extracted name-value pair indicates a value for a name of an attribute in the first document. Name value pairs are extracted for objects in a second document. A determination is made whether a difference in values of a specified name indicated in the name-value pairs extracted from the first and second documents exceeds a threshold provided for the specified name. A visualization is generated highlighting an object rendered according to different values provided for the specified name that are determined to exceed the threshold provided for the specified name.

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Номер записи: 62
01-09-2022 дата публикации

User-generated visual guide for the classification of images

Номер: US20220277171A1
Автор: Alejandro Betancourt, Andrew Yan-Tak Ng, Dillon Anthony Laird, Dongyan Wang, Gopi Prashanth Gopal, Karthikeyan Thiruppathisamy Nathillvar, Pingyang He, Rustam Hashimov, Sanjeev Satheesh, Yiwen RONG, Yu Qing Zhou
Принадлежит: Landing AI USA

Systems and methods are disclosed herein for creating a visual guide for developing training data for a classification of image, where the training data includes images tagged with labels for the classification of the images. A processor may prompt a user to define a framework for the classification. For an initial set of images within the training data, qualified human classifiers are prompted to locate the images within the framework and to tag the images with labels. The processor determines whether the tagged images have consistent labels, and, if so, the processor adds images to the training data. The processor may add the images by providing a visual guide, the visual guide including tagged images arranged according to their locations within the framework their labels, and prompting human classifiers to tag the additional images with labels for the classification, according to the visual guide.

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Номер записи: 63
02-05-2019 дата публикации

Systems and methods for optical material characterization of waste materials using machine learning

Номер: US20190130560A1
Автор: James A. Bailey, Matanya B. HOROWITZ
Принадлежит: AMP Robotics Corp

Systems and methods for optical material characterization of waste materials using machine learning are provided. In one embodiment, a system comprises: an imaging device configured to generate image frames an area and target objects within the area; an object characterization processor coupled to the imaging device and comprising Neural Processing Units and a Neural Network Parameter Set. The Neural Network Parameter Set stores learned parameters utilized by the one or more Neural Processing Units for characterizing the one or more target objects. The Neural Processing Units are configured by the Neural Network Parameter Set to detect a presence of a plurality of different materials within the image frames based on a plurality of different features. For a first image frame of the plurality of image frames, the Neural Processing Units outputs material characterization data that identifies which of the plurality of different materials are detected in the first image frame.

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Номер записи: 64
08-09-2022 дата публикации

System and method for providing smart print settings

Номер: US20220283752A1
Автор: Charles Armstrong
Принадлежит: Canon Inc

A system provides features for retrieving a print job. The print job includes print data, a source application and source job data type. The system determines if the print job requires a user activity analysis based on the source application and the source job data type. If user activity analysis is required, request a user-activity machine-learning model to provide user activity analysis data. The system establishes a relation between the print job and the user activity analysis data to generate input information to a job-data classification machine-learning model. The job-data classification machine-learning model provides print job data classification details as input information to a print setting recommendation learning model. The print setting recommendation machine-learning model processes the received print job data classification details and outputs a print setting recommendation. The system applies the print setting recommendation to the print job and processes the print job on the image processing device.

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Номер записи: 65
30-04-2020 дата публикации

Information processing apparatus, information processing method, and program

Номер: US20200135328A1
Автор: Kenta Yamada
Принадлежит: Fujifilm Corp

Provided are an information processing apparatus, an information processing method, and a program capable of accumulating appropriate relearning data. An information processing apparatus includes an input unit that inputs input data to a learned model acquired in advance through machine learning using learning data, an acquisition unit that acquires output data output from the learned model through the input using the input unit, a reception unit that receives correction performed by a user for the output data acquired by the acquisition unit, and a storage controller that performs control for storing, as relearning data of the learned model, the input data and the output data that reflects the correction received by the reception unit in a storage unit in a case where a value indicating a correction amount acquired by performing the correction for the output data is equal to or greater than a threshold value.

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Номер записи: 66
30-04-2020 дата публикации

Information processing apparatus, information processing system, image capturing apparatus, information processing method, and memory

Номер: US20200137300A1
Автор: Shigeo Ogawa
Принадлежит: Canon Inc

An information processing apparatus is provided which divides data for learning into first training data and second training data, stores the first training data and the second training data into a memory, and updates only the second training data without updating the first training data in a case where new characteristic data is obtained.

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Номер записи: 67
11-06-2015 дата публикации

Related images

Номер: US20150161217A1
Автор: Boon-Lock Yeo, Gangjiang Li, Guang Hua Li, HUI Li, Yong Zhang
Принадлежит: Google LLC

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting related images.

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Номер записи: 68
22-09-2022 дата публикации

Methods and apparatus to identify media

Номер: US20220300553A1
Автор: Jeffrey Scott, Matthew James Wilkinson, Robert Coover, Yongju Hong
Принадлежит: Gracenote Inc

Methods, apparatus, systems and articles of manufacture are disclosed to identify media. An example method includes: in response to a query, generating an adjusted sample media fingerprint by applying an adjustment to a sample media fingerprint; comparing the adjusted sample media fingerprint to a reference media fingerprint; and in response to the adjusted sample media fingerprint matching the reference media fingerprint, transmitting information associated with the reference media fingerprint and the adjustment.

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Номер записи: 69
30-05-2019 дата публикации

Image display apparatus and method of operating the same

Номер: US20190163702A1
Автор: Ernesto Evgeniy SANCHES SHAYDA, Ja-Yoon Koo, Jatin GARG, Vivek Agarwal
Принадлежит: SAMSUNG ELECTRONICS CO LTD

An image display apparatus for automatically determining an image in a video having a best picture of an object selected by a user.

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Номер записи: 70
21-05-2020 дата публикации

Multi-label heat map display system

Номер: US20200160122A1
Автор: Anthony Upton, Ben Covington, Chris Croswhite, Kevin Lyman, Li Yao, Lionel Lints
Принадлежит: Enlitic Inc

A multi-label heat map display system is operable to receive a medical scan and a set of heat maps set of heat maps that each correspond to probability matrix data generated for each of a set of abnormality classes. An interactive interface that displays image data of the medical scan and at least one of the set of heat maps is generated for display on a display device associated with the multi-label heat map display system. User input to a client device is received, and an updated interactive interface that includes a change to the display of the at least one of the set of heat maps by the second portion of the interactive interface in response to the user input is displayed.

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Номер записи: 71
21-05-2020 дата публикации

Triage routing system

Номер: US20200160966A1
Автор: Anthony Upton, Ben Covington, Kevin Lyman, Li Yao
Принадлежит: Enlitic Inc

A triage routing system is operable to receive a medical scan via a receiver. Inference data for the medical scan is generated by performing an inference function, where the inference function utilizes a computer-vision model trained on a plurality of medical scans. One of a plurality of medical professionals is selected to review the medical scan based on the inference data. Triage routing data that indicates the medical scan and the one of the plurality of medical professionals is generated. The medical scan is transmitted to a client device associated with the one of the plurality of medical professionals for display via a display device in accordance with the triage routing data.

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Номер записи: 72
21-05-2020 дата публикации

Medical scan triaging system

Номер: US20200160983A1
Автор: Anthony Upton, Ben Covington, Eric C. Poblenz, Jordan Prosky, Kevin Lyman, Li Yao
Принадлежит: Enlitic Inc

A medical scan triaging system is operable to generate a global abnormality probability for each of a plurality of medical scans by utilizing a computer vision model trained on a training set of medical scans. A triage probability threshold is determined based on user input to a client device. A first subset of the plurality of medical scans, designated for human review, is determined by identifying medical scans with a corresponding global abnormality probability that compares favorably to the triage probability threshold. A second subset of the plurality of medical scans, designated as normal, is determined by identifying ones of the plurality of medical scans with a corresponding global abnormality probability that compares unfavorably to the triage probability threshold. Transmission of the first subset of the plurality of medical scans to a plurality of client devices associated with a plurality of users is facilitated.

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Номер записи: 73
01-07-2021 дата публикации

Method and apparatus for video processing

Номер: US20210201038A1
Автор: Shiwei Zhang, Zhiyuan GENG, Zhurong XIA
Принадлежит: Alibaba Group Holding Ltd

Embodiments of the disclosure provides methods and apparatuses for video processing. In one embodiment, the video processing method comprises: obtaining at least one video from a video repository as a video to be processed; performing semantic recognition on the video in one or more semantic recognition dimensions to obtain one or more video label data items corresponding to the video in the one or more semantic recognition dimensions; generating at least one candidate label combination based on at least one of the one or more video label data items; determining, based on a target label combination selected by a user from the at least one candidate label combination, one or more video clips in the video corresponding to at least one video label in the target label combination; and generating at least one target video clip corresponding to the target label combination based on at least one of the one or more video clips.

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Номер записи: 74
02-07-2015 дата публикации

Drive assist device

Номер: US20150187214A1
Автор: Hiromitsu Urano, Katsuhiro Sakai, Kentaro Ichikawa, Masahiro Harada, Toshiki Kindo
Принадлежит: Toyota Motor Corp

A drive assist devices include a display that displays an image around a vehicle imaged by an imaging device installed on the vehicle, a setting unit that sets a target designated by a user on the image as a recognition target, a detection unit that detects a state change of the recognition target on the image in a case where the recognition target is set, and a notification control unit that controls a notification device to notify the user of the detection result in a case where the state change of the set recognition target is detected.

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Номер записи: 75
04-06-2020 дата публикации

Systems and methods for encoding image features of high-resolution digital images of biological specimens

Номер: US20200175325A1
Автор: Yao Nie
Принадлежит: Ventana Medical Systems Inc

An image analysis system for analyzing biological specimen images is disclosed. The system may include: a superpixel generator configured to obtain a biological specimen image and group pixels of the biological specimen image into a plurality of superpixels; a feature extractor configured to extract, from each superpixel in the plurality of superpixels, a feature vector comprising a plurality of image features; a clustering engine configured to assign the plurality of superpixels to a predefined number of clusters, each cluster being characterized by a centroid vector of feature vectors of superpixels assigned to the cluster; and a storage interface configured to store, for each superpixel in the plurality of superpixels, clustering information identifying the one cluster to which the superpixel is assigned. The system may also include a graph engine configured construct a graph based on the stored information, and use the graph to perform a graph-based image processing task.

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Номер записи: 76
11-06-2020 дата публикации

Framework for building and sharing machine learning components

Номер: US20200184272A1
Автор: Adil Mohammed, Ankit ARYA, Baiji HE, Karan SAMEL, Maram NAGENDRAPRASAD, Masayo Iida, Xu Miao, Zhenjie Zhang
Принадлежит: Astound AI Inc

One embodiment of the present invention sets forth a technique for managing machine learning. The technique includes organizing a set of reusable components for performing machine learning under a framework. The technique also includes representing, within the framework, a machine learning model as a graph-based structure that includes nodes representing a subset of the reusable components and edges representing input-output relationships between pairs of the nodes. The technique further includes validating the machine learning model based on inputs and outputs associated with the nodes and the input-output relationships represented by the edges in the graph-based structure. Finally, the technique includes generating the machine learning model according to the graph-based structure and configurations for the subset of the reusable components.

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Номер записи: 77
27-06-2019 дата публикации

Object identification and labeling tool for training autonomous vehicle controllers

Номер: US20190197778A1
Автор: Dmytro Trofymov, Prateek Sachdeva
Принадлежит: Luminar Technologies Inc

Techniques for identifying and labeling distinct objects within 3-D images of environments in which vehicles operate, to thereby generate training data used to train models that autonomously control and/or operate vehicles, are disclosed. A 3-D image may be presented from various perspective views (in some cases, dynamically), and/or may be presented with a corresponding 2-D environment image in a side-by-side and/or a layered manner, thereby allowing a user to more accurately identify groups/clusters of data points within the 3-D image that represent distinct objects. Automatic identification/delineation of various types of objects depicted within 3-D images, automatic labeling of identified/delineated objects, and automatic tracking of objects across various frames of a 3-D video are disclosed. A user may modify and/or refine any automatically generated information. Further, at least some of the techniques described herein are equally applicable to 2-D images.

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Номер записи: 78
29-07-2021 дата публикации

Heat map display system and methods for use therewith

Номер: US20210233633A1
Автор: Anthony Upton, Ben Covington, Chris Croswhite, Kevin Lyman, Li Yao, Lionel Lints
Принадлежит: Enlitic Inc

A multi-label heat map display system is operable to receive a medical scan and a set of heat maps set of heat maps that each correspond to probability matrix data generated for each of a set of abnormality classes. An interactive interface that displays image data of the medical scan and at least one of the set of heat maps is generated for display on a display device associated with the multi-label heat map display system. User input to a client device is received, and an updated interactive interface that includes a change to the display of the at least one of the set of heat maps by the second portion of the interactive interface in response to the user input is displayed.

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Номер записи: 79
06-08-2015 дата публикации

Image Processing Methods

Номер: US20150220786A1
Автор: Bradford A. Folkens, Dominik K. Mazur
Принадлежит: Camfind Inc

An image recognition approach employs both computer generated and manual image reviews to generate image tags characterizing an image. The computer generated and manual image reviews can be performed sequentially or in parallel. The generated image tags may be provided to a requester in real-time, be used to select an advertisement, and/or be used as the basis of an internet search. In some embodiments generated image tags are used as a basis for an upgraded image review. A confidence of a computer generated image review may be used to determine whether or not to perform a manual image review.

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Номер записи: 80
27-07-2017 дата публикации

Food Inventory System and Method

Номер: US20170213184A1
Автор: Sun Kyong Lee, Youn Ja Lee
Принадлежит: Individual

A food inventory system, including a portable device which may include a bar code scanner and camera to add and remove inventory items to and from the inventory. The scanner may be mounted on an inventory storage container to facilitate inventory control from one or more domestic storage devices, including refrigerators, freezers, and pantries. The inventory system may display a table listing the inventory items along with variable details. Based on the food inventory list, the inventory system may suggest recipes, display the ingredients in stock for suggested recipes, and create a shopping list of the ingredients not in stock for a desired recipe. The portable device may be configured with wireless capability, connection to the internet, phones, tablets, laptops, and personal computer.

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Номер записи: 81
11-07-2019 дата публикации

Machine-implemented facial health and beauty assistant

Номер: US20190213453A1
Автор: Celia LUDWINSKI, Christine El-Fakhri, Florent VALCESCHINI, Hemant Joshi, Yuanjie Li, Zhiyuan Song
Принадлежит: LOreal SA

An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

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Номер записи: 82
02-07-2020 дата публикации

Training data collection for computer vision

Номер: US20200210768A1
Автор: Adam Turkelson, Christopher Birmingham, Kyle Martin, Sethu Hareesh Kolluru
Принадлежит: Slyce Acquisition Inc

Provided is a process that includes: determining that a training set lacks an image of an object with a given pose, context, or camera; composing, based on the determination, a video capture task; obtaining a candidate video; selecting a subset of frames of the candidate video as representative; determining that a given frame among the subset depicts the object from the given pose, context, or camera; and augmenting the training set with the given frame.

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Номер записи: 83
09-08-2018 дата публикации

Guiding selection of digital content based on editorial content

Номер: US20180225370A1
Автор: Benjamin John Frederickson, John T. Mazzeo, Michael S. McCue, Vlad Ionut Cora
Принадлежит: Flipboard Inc

A digital magazine server generates a digital magazine for user based on a received request for the digital magazine identifying one or more topics. The digital magazine server applies one or more machined trained models to obtained content items to select content items for the topic. A hierarchy of the topics included in the received request may be determined by the digital magazine server and used by the trained models to select content items. When generating the digital magazine, the digital magazine server also includes one or more editorial content items that are manually selected. The digital magazine serer may reposition one or more content items selected by the trained models to include an editorial content items.

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Номер записи: 84
09-07-2020 дата публикации

System, method, and computer-accessible medium for evaluating multi-dimensional synthetic data using integrated variants analysis

Номер: US20200218638A1
Автор: Anh Truong, Austin Walters, Fardin Abdi Taghi Abad, Jeremy Goodsitt, Kenneth Taylor, Mark Watson, Reza Farivar, Vincent Pham
Принадлежит: Capital One Services LLC

An exemplary system, method, and computer-accessible medium can include, for example, receiving an original dataset(s), receiving a synthetic dataset(s), training a model(s) using the original dataset(s) and the synthetic dataset(s), and evaluating the synthetic dataset(s) based on the training of the model(s). The model(s) can include a first model and a second model, and the first model can be trained using the original dataset(s) and the second model can be trained using the synthetic dataset(s). The synthetic dataset(s) can be evaluated by comparing first results from the training of the first model to second results from the training of the second model.

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Номер записи: 85
27-08-2015 дата публикации

Interactive visualization of machine-learning performance

Номер: US20150242761A1
Автор: Aparna Lakshmiratan, Bongshin Lee, Carlos Garcia Jurado Suarez, David G. GRANGIER, David Maxwell Chickering, Denis X. Charles, Patrice Yvon Rene Simard, Saleema A. Amershi, Steven M. Drucker
Принадлежит: Microsoft Corp

Methods, computer systems, computer-storage media, and graphical user interfaces are provided for visualizing a performance of a machine-learned model. An interactive graphical user interface includes an item representation display area that displays a plurality of item representations corresponding to a plurality of items processed by the machine-learned model. The plurality of item representations are arranged according to scores assigned to the plurality of items by the machine-learned model. Further, each of the plurality of item representations is visually configured to represent a label assigned to a corresponding item.

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Номер записи: 86
16-08-2018 дата публикации

Determining speaker changes in audio input

Номер: US20180233140A1
Автор: Kazuhito Koishida, Uros Batricevic
Принадлежит: Microsoft Technology Licensing LLC

Intelligent assistant systems, methods and computing devices are disclosed for identifying a speaker change. A method comprises receiving audio input comprising a speech fragment. A first voice model is trained with a first sub-fragment from the speech fragment. A second voice model is trained with a second sub-fragment from the speech fragment. The first sub-fragment is analyzed with the second voice model to yield a first confidence value. The second sub-fragment is analyzed with the first voice model to yield a second confidence value. Based at least on the first and second confidence values, the method determines if a speaker of the first sub-fragment is the speaker of the second sub-fragment.

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Номер записи: 87
16-08-2018 дата публикации

Multi-user intelligent assistance

Номер: US20180233142A1
Автор: Alexander A. POPOV, Kazuhito Koishida, Steven Nabil Bathiche, Uros Batricevic
Принадлежит: Microsoft Technology Licensing LLC

An intelligent assistant records speech spoken by a first user and determines a self-selection score for the first user. The intelligent assistant sends the self-selection score to another intelligent assistant, and receives a remote-selection score for the first user from the other intelligent assistant. The intelligent assistant compares the self-selection score to the remote-selection score. If the self-selection score is greater than the remote-selection score, the intelligent assistant responds to the first user and blocks subsequent responses to all other users until a disengagement metric of the first user exceeds a blocking threshold. If the self-selection score is less than the remote-selection score, the intelligent assistant does not respond to the first user.

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Номер записи: 88
17-08-2017 дата публикации

Methods and systems for content processing

Номер: US20170236407A1
Автор: Brian T. MacIntosh, Geoffrey B. Rhoads, Nicole Rhoads, William Y. Conwell
Принадлежит: Digimarc Corp

Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.

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Номер записи: 89
25-07-2019 дата публикации

Systems and methods for generating machine learning applications

Номер: US20190228261A1
Автор: Man Chan
Принадлежит: WerAi Inc

Systems and methods for generating prebuilt machine learning framework objects comprising sets of prebuilt machine learning components and one or more data mapping requirements. The components are associated with a respective machine learning service. One or more datasets are obtained. A user-specified context for creating a particular machine learning application is obtained. A particular prebuilt object is selected based on the datasets and the context. One more candidate data mappings are identified based on the data mapping requirements and the datasets. A particular data mapping is selected. A particular set of prebuilt components is selected from the plurality of prebuilt components. The particular machine learning application is generated from the particular prebuilt object based on the particular data mapping and the particular set of prebuilt components, the particular machine learning application comprising an executable application. The machine learning application is deployed.

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Номер записи: 90
26-08-2021 дата публикации

Complex image data analysis using artificial intelligence and machine learning algorithms

Номер: US20210264212A1
Автор: Ankit Goyal, Berk NORMAN, Cameron Andrews, David Seungwon PAIK, Kojo Worai OSEI, Mark D. LONGO, Vernon Marshall
Принадлежит: Sirona Medical Inc

Disclosed herein are systems, methods, and software for providing a platform for complex image data analysis using artificial intelligence and/or machine learning algorithms. One or more subsystems allow for the capturing of user input such as eye gaze and dictation for automated generation of findings. Additional features include quality metric tracking and feedback, and worklist management system and communications queueing.

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Номер записи: 91
10-09-2015 дата публикации

Imaging control apparatus, storage system, and storage medium

Номер: US20150254836A1
Автор: Akira Tange, Takatoshi Nakamura, Yoichiro Sako
Принадлежит: Sony Corp

There is provided an imaging control apparatus including an imaging control section configured to control an imaging section to capture a predetermined area in a body cavity, a comparison section configured to compare a captured image captured by the imaging section with a reference image, and a storage control section configured to execute a control to store the captured image in response to a comparison result by the comparison section.

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Номер записи: 92
09-09-2021 дата публикации

Method and device for ascertaining an explanation map

Номер: US20210279529A1
Автор: Jakob Thaddaeus Wiedemer, Jan Mathias Koehler, Joerg Wagner, Leon Hetzel, Tobias Gindele
Принадлежит: ROBERT BOSCH GMBH

A method for ascertaining an explanation map of an image. All those pixels of the image are highlighted which are significant for a classification of the image ascertained with the aid of a deep neural network. The explanation map is being selected in such a way that it selects a smallest possible subset of the pixels of the image as relevant. The explanation map leads to the same classification result as the image when the explanation map is supplied to the deep neural network for classification. The explanation map is selected in such a way that an activation caused by the explanation map does not essentially exceed an activation caused by the image in feature maps of the deep neural network.

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Номер записи: 93
30-09-2021 дата публикации

Data processing method, means and system

Номер: US20210303928A1
Автор: Jianqiang Ma, Minfeng Xu, Shuangrui Liu, Wenchao Guo, Zhe Tang
Принадлежит: Alibaba Group Holding Ltd

The present application discloses a method, device, and system for processing a medical image. The method includes obtaining, by one or more processors, a target image, segmenting, by the one or more processors, a target region image from the target image, wherein the target region image comprises a target object region in the target image, analyzing, by the one or more processors, the target region image based at least in part on a machine learning model, and obtaining by the one or more processors, a recognition result based at least in part on the analysis of the target region image.

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Номер записи: 94
15-08-2019 дата публикации

Image analyzing device and image analyzing method

Номер: US20190251391A1
Автор: Hisashi KAWABAYASHI
Принадлежит: Canon Inc

An image analyzing device comprises: a detection unit configured to execute detection processing for detecting a predetermined object included in an image, using a plurality of different object models that are for detecting the predetermined object; a display control unit configured to control a display to display information indicating each of the plurality of different object models and information indicating each of results of the detection processing related to each of the plurality of different object models; a reception unit configured to receive selection of at least one object model from among the plurality of different object models which are pieces of information displayed by the display control unit; and a setting unit configured to set an object model to be used in the detection processing, based on the selection received by the reception unit.

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Номер записи: 95
14-09-2017 дата публикации

Video object classification with object size calibration

Номер: US20170262702A1
Автор: Aleksey Lipchin, Dimitri A. Lisin, Igor Reyzin, Mahesh Saptharishi
Принадлежит: Avigilon Analytics Corp

A camera system comprises an image capturing device, and connected to it are an object classification module and a calibration module. The object classification module is operable to determine whether or not an object in an image is a member of an object class, and the calibration module is operable to estimate representative sizes of the object. The object classification module may determine a confidence parameter that is used by the calibration module, or conversely, the calibration module may produce a size that is used by the classification module.

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Номер записи: 96
21-10-2021 дата публикации

Image analysis system and method of using the image analysis system

Номер: US20210326565A1
Автор: Avrum Cohen, Dihui Hong, Stephen Rhein
Принадлежит: Molecular Devices LLC

A system and method for analyzing images using programmable device is disclosed. A sequencer operating on the non-transitory programmable device applies the first image analysis step to the first image to develop annotated training data. Specifications of the first image and the first image analysis step are developed using a graphical user interface operating on a computer. In addition, a machine learning system trainer operating on the programmable device trains an untrained machine learning system to develop a trained machine learning system. When the trained machine learning system is presented with the first image as an input, the trained machine learning system develops a prediction of the annotated training data. In addition, the sequencer analyzes a second image by undertaking a workflow, wherein the workflow is received from the computer and is specified using the graphical user interface and comprises a second image analysis step that that specifies operating the trained machine learning system

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Номер записи: 97
22-09-2016 дата публикации

Systems and Methods for Labeling Source Data using Confidence Labels

Номер: US20160275417A1
Автор: Peter Welinder, Pietro Perona
Принадлежит: California Institute of Technology CalTech

Systems and methods for the annotation of source data using confidence labels in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a method for determining confidence labels for crowdsourced annotations includes obtaining a set of source data, obtaining a set of training data representative of the set of source data, determining the ground truth for each piece of training data, obtaining a set of training data annotations including a confidence label, measuring annotator accuracy data for at least one piece of training data, and automatically generating a set of confidence labels for the set of unlabeled data based on the measured annotator accuracy data and the set of annotator labels used.

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Номер записи: 98
29-08-2019 дата публикации

Tunable generative adversarial networks

Номер: US20190266442A1
Автор: Ajay Chander, Ramya Malur SRINIVASAN
Принадлежит: Fujitsu Ltd

A method of tuning a generative model may be provided. A method may include receiving, at a first generative adversarial network (GAN), a first input identifying an item and at least one user-defined attribute for the item. The method may also include generating, via the first GAN, a first image of the item based on the first input. Further, the method may include receiving, at a second GAN, the first image and a second input indicative of a desire for more or less of the at least one user-defined attribute. Moreover, the method may include generating, via the second GAN, a second image of the item based on the first image and the second input.

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Номер записи: 99
05-10-2017 дата публикации

System and method for optical character recognition

Номер: US20170286803A1
Автор: Madhusudan Singh, Raghottam Mannopantar, Ramprasad Kanakatte Ramanna
Принадлежит: Wipro Ltd

This disclosure relates to system and method for optical character recognition. In one embodiment, the method comprises providing an image data to a plurality of customized machine learning algorithms or various customized neural networks, configured to recognize a set of pre-defined characters. The method comprises presenting one or more suggestions for the character to the user in response to negative character recognition, and training a customized machine learning algorithm corresponding to the character if one of the suggestions is identified by the user. If the suggestions are rejected by the user, the method comprises prompting the user to identify the character and determining presence of the character in the set of pre-defined characters. The method further comprises training a customized machine learning algorithm corresponding to the character if the character is present, or dynamically creating a customized machine learning algorithm corresponding to the character if the character is not present.

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Номер записи: 100