Learning Systems Patents (Class 382/155)
  • Patent number: 10339921
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using neural networks. One of the methods includes receiving, by a neural network in a speech recognition system, first data representing a first raw audio signal and second data representing a second raw audio signal, the first raw audio signal and the second raw audio signal for the same period of time, generating, by a spatial filtering convolutional layer in the neural network, a spatial filtered output the first data and the second data, generating, by a spectral filtering convolutional layer in the neural network, a spectral filtered output using the spatial filtered output, and processing, by one or more additional layers in the neural network, the spectral filtered output to predict sub-word units encoded in both the first raw audio signal and the second raw audio signal.
    Type: Grant
    Filed: January 4, 2016
    Date of Patent: July 2, 2019
    Assignee: Google LLC
    Inventors: Tara N. Sainath, Ron J. Weiss, Kevin William Wilson
  • Patent number: 10311915
    Abstract: Grain noise and scratches are applied to an input image as random noise to generate a combined image. When applying grain noise clipped from two-dimensional noise data to the input image, each time clipping is performed, a positional difference from a last clipping position is evaluated. When the positional difference is determined to be small, a current clipping position is changed. When applying scratches clipped from noise data of a plurality of patterns to an input image, when a condition for successively applying scratches for a predetermined time period is selected, a positional difference from a last pasting position is evaluated. When the positional difference is determined to be large, the application of scratches is invalidated.
    Type: Grant
    Filed: September 23, 2013
    Date of Patent: June 4, 2019
    Assignee: Canon Kabushiki Kaisha
    Inventor: Satoshi Okamura
  • Patent number: 10291485
    Abstract: A network device, system, and method are provided. The network device includes a processor. The processor is configured to store a local estimate and a dual variable maintaining an accumulated subgradient for the network device. The processor is further configured to collect values of the dual variable of neighboring network devices. The processor is also configured to form a convex combination with equal weight from the collected dual variable of neighboring network devices. The processor is additionally configured to add a most recent local subgradient for the network device, scaled by a scaling factor, to the convex combination to obtain an updated dual variable. The processor is further configured to update the local estimate by projecting the updated dual variable to a primal space.
    Type: Grant
    Filed: October 18, 2016
    Date of Patent: May 14, 2019
    Assignee: NEC Corporation
    Inventors: Asim Kadav, Renqiang Min, Erik Kruus, Cun Mu
  • Patent number: 10289950
    Abstract: A neuromorphic electric system includes a network of plural neuron circuits connected in series and in parallel to form plural layers. Each of the plural neuron circuits includes: a soma circuit that stores a charge supplied thereto and outputs a spike signal; and plural synapse circuits that supply a charge to the soma circuit according to a spike signal fed to the synapse circuits, a number of the plural synapse circuits being one more than a number of plural neuron circuits in a prior layer outputting the spike signal to the synapse circuits. One of the plural synapse circuits supplies a charge to the soma circuit in response to receiving a series of pulse signals, and the others of the plural synapse circuits supply a charge to the soma circuit in response to receiving a spike signal from corresponding neuron circuits in the prior layer.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: May 14, 2019
    Assignee: International Business Machines Corporation
    Inventors: Kohji Hosokawa, Masatoshi Ishii, Atsuya Okazaki, Junka Okazawa, Takayuki Osogami
  • Patent number: 10282588
    Abstract: Machine training and application of machine-trained classifier are used for image-based tumor phenotyping in a medical system. To create a training database with known phenotype information, synthetic medical images are created. A computational tumor model creates various examples of tumors in tissue. Using the computational tumor model allows one to create examples not available from actual patients, increasing the number and variance of examples used for machine-learning to predict tumor phenotype. A model of an imaging system generates synthetic images from the examples. The machine-trained classifier is applied to images from actual patients to predict tumor phenotype for that patient based on the knowledge learned from the synthetic images.
    Type: Grant
    Filed: May 2, 2017
    Date of Patent: May 7, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Dorin Comaniciu, Ali Kamen, David Liu, Boris Mailhe, Tommaso Mansi
  • Patent number: 10255548
    Abstract: Described is a system for modeling probability matching in human subjects. Features related to probability matching are extracted from a set of human subject responses from behavioral tasks. Neural network model instances are trained on the set of features, resulting in a set of trained neural network model instances. A set of model parameters are derived from the set of trained neural network instances, and the set of derived model parameters are used to emulate human performance on novel data.
    Type: Grant
    Filed: November 5, 2015
    Date of Patent: April 9, 2019
    Assignee: HRL Laboratories, LLC
    Inventors: Suhas E. Chelian, Rajan Bhattacharyya
  • Patent number: 10217030
    Abstract: A computer-implemented method and a system are proposed. According to the method, in response to receiving a character, a first representation of the character is generated by performing word embedding processing on the character. The first representation is related to context of the character. A second representation of the character is generated by performing convolutional neural network (CNN) processing on the character. The second representation is related to a hieroglyphic feature of the character. A label for the character is determined by performing recurrent neural network (RNN) processing on the first representation and the second representation. The label indicates an attribute of the character related to the context.
    Type: Grant
    Filed: June 14, 2017
    Date of Patent: February 26, 2019
    Assignee: International Business Machines Corporation
    Inventors: Dongxu Duan, Jian Min Jiang, Zhong Su, Li Zhang, Shi Wan Zhao
  • Patent number: 10204289
    Abstract: A computer-implemented method and a system are proposed. According to the method, in response to receiving a character, a first representation of the character is generated by performing word embedding processing on the character. The first representation is related to context of the character. A second representation of the character is generated by performing convolutional neural network (CNN) processing on the character. The second representation is related to a hieroglyphic feature of the character. A label for the character is determined by performing recurrent neural network (RNN) processing on the first representation and the second representation. The label indicates an attribute of the character related to the context.
    Type: Grant
    Filed: December 20, 2017
    Date of Patent: February 12, 2019
    Assignee: International Business Machines Corporation
    Inventors: Dongxu Duan, Jian Min Jiang, Zhong Su, Li Zhang, Shi Wan Zhao
  • Patent number: 10176396
    Abstract: At least some embodiments of the present disclosure feature systems and methods for assessing the impact of visual features within a region of a scene. With the input of a visual representation of a scene and at least one selected region within the scene, the system applies a visual attention model to the visual representation to determine visual conspicuity of the at least one selected region. The system computes feature-related data associated with a plurality of features of the at least one selected region. Based on the visual conspicuity and the feature-related data, the system assesses an impact that at least one of the features within the at least one selected region have on the visual conspicuity.
    Type: Grant
    Filed: June 2, 2014
    Date of Patent: January 8, 2019
    Assignee: 3M INNOVATIVE PROPERTIES COMPANY
    Inventors: William K. Smyth, Richard J. Moore, Benjamin D. Zimmer, Brian J. Stankiewicz
  • Patent number: 10163020
    Abstract: There is provided a system configured to receive a plurality of images, analyze a set of features of the plurality of images to determine a difference between a first training performance of a plurality of independent detectors based on one or more of individual attributes and a second training performance of a plurality of joint detectors based on one or more of composite attributes, select, based on the analyzing, either one of the plurality of independent detectors or one of the plurality of joint detectors for identifying a plurality of objects in the plurality of images, and identify the plurality of objects in the plurality of images, using the selected one of the plurality of independent detectors utilizing the one or more of the individual attributes or using the selected one of the plurality of joint detectors utilizing the one or more of the composite attributes.
    Type: Grant
    Filed: June 4, 2018
    Date of Patent: December 25, 2018
    Assignee: Disney Enterprises, Inc.
    Inventors: Leonid Sigal, Arik Shamir, Guy Rosenthal
  • Patent number: 10162865
    Abstract: The technology described herein provides an efficient mechanism for generating image tags. Image data from a plurality of sources may be analyzed to identify relevant text items from the aggregated data. The relevant text items may be keywords describing a subject of an image, an entity of an image, a location of an image, or the like. From the aggregated image data, one or more image tags may be generated and stored as an offline dataset with an image identifier. Upon detecting a prompt such as a user issuing a search query for an image, the image identifier is used to perform a look up of the image and associated image tags to be provided.
    Type: Grant
    Filed: October 8, 2015
    Date of Patent: December 25, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Aaron Chun Win Yuen, Alexandre B. R. Michelis, Arun Sacheti, Karim A. Hasham, Yanfeng Sun
  • Patent number: 10162742
    Abstract: Software testing techniques based on image recognition are disclosed. In various embodiments, a programmatically implemented image classifier is trained to recognize a screen shot image as being associated with a transaction end condition of a transaction. A test script configured to initiate an iteration of the transaction is run. A start time of the iteration of the transaction is recorded. Screen shot images are generated during performance of the iteration of the transaction to capture a series of screen shot images of at least a portion of a user interface display associated with the iteration of the transaction. The image classifier is used to find an earliest-captured image that matches the transaction end condition. A time associated with the matched image is used as a transaction end time to compute an end-to-end time to perform the iteration of the transaction.
    Type: Grant
    Filed: March 8, 2018
    Date of Patent: December 25, 2018
    Assignee: Open Text Corporation
    Inventors: Hong Yuan, Xiaochen Nie, Tingxian Cheng, Yujia Wang, Xia Liu, Chao Chen
  • Patent number: 10162895
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting entity names. One method includes receiving texts and deriving a plurality of name-context pairs from the texts. The method further includes calculating a context consistency measure for each name-context pair and storing context-entity name data representing the name-context pairs. Another method includes identifying an entity name and one or more context terms from a query and generating candidate names for the entity name. The method further includes determining a score for each of the candidate names, selecting a number of top scoring candidate names, and using the selected candidate names to respond to the query.
    Type: Grant
    Filed: February 9, 2015
    Date of Patent: December 25, 2018
    Assignee: Google LLC
    Inventors: Lawrence J. Brunsman, Matthieu Devin, Uri N. Lerner, Simon Tong
  • Patent number: 10140249
    Abstract: Various examples of methods and systems are provided for approximate message passing with universal denoising. In one example, a method includes applying an approximate message passing (AMP) conversion framework to a plurality of substantially linear measurements to produce a plurality of scalar measurements; applying a denoiser algorithm to the plurality of scalar measurements to generate a plurality of denoised scalar measurements; and applying a conversion term to the plurality of denoised scalar measurements to convert the plurality of denoised scalar measurements to a plurality of denoised substantially linear measurements.
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: November 27, 2018
    Assignee: North Carolina State University
    Inventors: Dror Baron, Yanting Ma, Junan Zhu
  • Patent number: 10140557
    Abstract: In some embodiments, the present invention provides for an exemplary inventive system, including: a communication pipeline, including: at a first end of the communication pipeline: a first processor configured to: obtain a plurality of original content data units having a representative content associated with a subject; apply a trained artificial intelligence algorithm to identify: the representative content of the subject and original background content that is not associated with the subject; remove the original background content to reduce a volume of data being transmitted resulting in an increased capacity of the communication channel; encode and transmit each respective modified content data unit from the first end of the communication pipeline to a second end; a second processor configured to: receive and decode each respective modified content data unit; generate a respective artificial background content; and combine the representative content associated with the subject and the respective artificia
    Type: Grant
    Filed: May 22, 2018
    Date of Patent: November 27, 2018
    Assignee: Banuba Limited
    Inventors: Viktor Prokopenya, Yury Hushchyn, Alexander Lemeza
  • Patent number: 10133724
    Abstract: A grammatically diverse test set of natural language sentences for a deep question answering system is provided by analyzing a given sentence to characterize its syntactical classification, and adding the sentence to the test set if its classification is sufficiently different from other sentences already in the test set. A particular sentence may be selected for inclusion according to a desired syntactic distribution. Multiple sentences having the exact same classification may be allowed subject to a maximum number of such sentences. The test set is adapted to an element of interest by characterizing each syntactical classification relative to the element of interest. The analysis derives a parse tree, identifies a particular node of the tree corresponding to the element of interest, and extracts syntactic information by traversing the tree starting at the particular node and ending at the root node of the tree according to different traversal schemes.
    Type: Grant
    Filed: August 22, 2016
    Date of Patent: November 20, 2018
    Assignee: International Business Machines Corporation
    Inventors: Sean L. Bethard, Edward G. Katz, Christopher Phipps
  • Patent number: 10127905
    Abstract: Described are an apparatus and method for generating to generate an acoustic model. The apparatus and method include a processor a processor configured to calculate a noise representation that represents noise data by using a noise model, and generate the acoustic model through training using training noisy speech data, which comprises speech data and the noise data, a string of phonemes corresponding to the speech data, and the noise representation.
    Type: Grant
    Filed: August 9, 2016
    Date of Patent: November 13, 2018
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: HoShik Lee, Hee Youl Choi
  • Patent number: 10115189
    Abstract: An image processing apparatus is configured to process an image. The image processing apparatus includes: a calculator configured to calculate a parameter for each of a plurality of areas and for each of a plurality of models describing a plurality of body shapes, each of the plurality of models having the plurality of areas, and probabilities indicating to which of the plurality of models input images input for learning belong; and a comparator configured to compare an input inspection image with the plurality of models whose parameters are optimized based on the probabilities.
    Type: Grant
    Filed: March 8, 2017
    Date of Patent: October 30, 2018
    Assignee: Ricoh Company, Ltd.
    Inventor: Ryosuke Kasahara
  • Patent number: 10107612
    Abstract: Achieving high spatial resolution in contact sensing for robotic manipulation often comes at the price of increased complexity in fabrication and integration. One traditional approach is to fabricate a large number of taxels, each delivering an individual, isolated response to a stimulus. In contrast, proposed sensor includes a continuous volume of soft material, e.g., a piezoresistive elastomer with a number of terminals embedded inside. Piezoresistive effects can be measured between all pairs of terminals in the set, and this rich signal set can contain the information needed to pinpoint contact location with high accuracy using regression algorithms. Submillimeter median accuracy can be demonstrated in locating contact on a 10 mm by 16 mm sensor using only four terminals (creating six unique pairs).
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: October 23, 2018
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Matei Ciocarlie, Ioannis Kymissis, Pedro Piacenza, Steve Jeung Hoon Park
  • Patent number: 10108716
    Abstract: A system generates a ticker result, which may be a uniform resource locator (URL) corresponding to a quote provider. The system receives a string of information and determines whether all terms in the string of information correspond to ticker symbols. If all terms in the string of information correspond to ticker symbols, the system may ascertain whether the string of information corresponds to a query for ticker information. If the string of information corresponds to a query for ticker information, the ticker information (e.g., a ticker result) may be provided.
    Type: Grant
    Filed: October 18, 2016
    Date of Patent: October 23, 2018
    Assignee: GOOGLE LLC
    Inventor: Paul Thomas Buchheit
  • Patent number: 10095950
    Abstract: Efficient image processing systems and methods for image scene classification and similarity matching are disclosed. The image processing systems encompassed by this disclosure use a deep convolutional neural network to facilitate scene classification by recognizing the context of an image and thereby enabling searches for similar images. These methods and systems are scalable to a large set of images and achieve a higher performance compared to the current state of the art techniques.
    Type: Grant
    Filed: June 2, 2016
    Date of Patent: October 9, 2018
    Assignee: HYPERVERGE INC.
    Inventors: Vignesh Krishnakumar, Hariprasad Prayagai Sridharasingan, Adarsh Amarendra Tadimari, Saivenkatesh A
  • Patent number: 10042866
    Abstract: In various implementations, a personal asset management application is configured to perform operations that facilitate the ability to search multiple images, irrespective of the images having characterizing tags associated therewith or without, based on a simple text-based query. A first search is conducted by processing a text-based query to produce a first set of result images used to further generate a visually-based query based on the first set of result images. A second search is conducted employing the visually-based query that was based on the first set of result images received in accordance with the first search conducted and based on the text-based query. The second search can generate a second set of result images, each having visual similarity to at least one of the images generated for the first set of result images.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: August 7, 2018
    Assignee: Adobe Systems Incorporated
    Inventors: Zhe Lin, Jonathan Brandt, Xiaohui Shen, Jae-Pil Heo, Jianchao Yang
  • Patent number: 10037151
    Abstract: A data storage device includes a nonvolatile memory device including first and second memory regions; and a controller suitable for performing a pattern identification operation for write requests, based on a pattern information for one or more patterns, and storing data corresponding to the write requests in one of the first and second memory regions according to a result of the pattern identification operation.
    Type: Grant
    Filed: August 10, 2016
    Date of Patent: July 31, 2018
    Assignee: SK Hynix Inc.
    Inventors: Do Hyun Kim, Dae Hong Kim, Soong Sun Shin
  • Patent number: 10019566
    Abstract: Some aspects are related to methods and apparatus that enable authorization of one or more functionalities of a robot based on a user physically manipulating the robot. For example, an authorization for a robot may include one or more authorization parameters associated with physical manipulation of the robot and sensor data generated in response to physical manipulation of the robot by a user may be utilized to determine if the physical manipulation conforms to the authorization parameters. If conformance is determined, one or more functionalities of the robot may be activated. Some implementations additionally and/or alternatively relate to methods and apparatus for adapting one or more physical control parameters for a robot based on preferences of a user of the robot, such as a user that is currently authorized for the robot.
    Type: Grant
    Filed: April 14, 2016
    Date of Patent: July 10, 2018
    Assignee: X DEVELOPMENT LLC
    Inventor: Garratt Gallagher
  • Patent number: 10015463
    Abstract: Comparing images, including: selecting a target image; selecting one or more search images; comparing the target image to a negative image corresponding to each search image to generate an image comparison score for each search image; and identifying the search image with the best image comparison score. Keywords include logging events and frame matching.
    Type: Grant
    Filed: September 17, 2012
    Date of Patent: July 3, 2018
    Assignees: SONY CORPORATION, SONY PICTURES TECHNOLOGIES, INC.
    Inventors: Jason Brahms, Oleksandr Zhukov, Oleg Sharov
  • Patent number: 10013621
    Abstract: There is provided a system including a memory and a processor to receive images. The processor is further to train independent detectors for identifying first objects in the images based on individual attributes including a first attribute and a second attribute. The processor is also to train joint detectors for identifying first objects in the images based on composite attributes including a composite attributes each including the first attribute and the second attribute. The processor is to analyze features of the images to determine a difference between a first training performance of the independent detectors and a second training performance of the joint detectors. Lastly, the processor is to select, based on the analyzing, between using the independent detectors and using the joint detectors for identifying second objects in the images using a third attribute and a fourth attribute in the attribute database.
    Type: Grant
    Filed: October 4, 2016
    Date of Patent: July 3, 2018
    Assignee: Disney Enterprises, Inc.
    Inventors: Leonid Sigal, Arik Shamir, Guy Rosenthal
  • Patent number: 9984326
    Abstract: Described is system for simulating spiking neural networks for image and video processing. The system processes an image with a spiking neural network simulator having a plurality of inter-connected modules. Each module comprises a plurality of neuron elements. Processing the image further comprises performing a neuron state update for each module, that includes aggregating input spikes and updating neuron membrane potentials, and performing spike propagation for each module, which includes transferring spikes generated in a current time step. Finally, an analysis result is output.
    Type: Grant
    Filed: April 6, 2015
    Date of Patent: May 29, 2018
    Assignee: HRL Laboratories, LLC
    Inventors: Yang Chen, Yongqiang Cao, Deepak Khosla
  • Patent number: 9965703
    Abstract: An algorithm for performing an image or video processing task is generated that may be used to combine a plurality of different independent solutions to the image or video processing task in an optimized manner. A plurality of base algorithms may be applied to a training set of images or video and a first generation of different combining algorithms may be applied to combine the respective solutions from each of the respective base algorithms into respective combined solutions. The respective combined solutions may be evaluated to generate respective fitness scores representing measures of how well the plurality of different combining algorithms each perform the image or video processing task. The algorithms may be iteratively updated to generate an optimized combining algorithm that may be applied to an input image or video.
    Type: Grant
    Filed: June 8, 2016
    Date of Patent: May 8, 2018
    Assignee: GoPro, Inc.
    Inventors: Balineedu Chowdary Adsumilli, Ryan Lustig
  • Patent number: 9940729
    Abstract: A first image and a second image are provided to a trained neural network. The first image comprises one or more static features and the second image comprises at least one of the one or more static features. A static feature is identified in both the first and second images by a branch of the trained neural network. A three dimensional image comprising the identified static feature is generated and three dimensional geometric information/data related to the static feature is extracted and stored in association with a tile of a digital map. A set of training images may be used to train the trained neural network comprises training image subsets comprising two or more images that substantially overlap that were (a) captured at different times; (b) captured under different (i) weather conditions, (ii) lighting conditions, or (iii) weather and lighting conditions; or both a and b.
    Type: Grant
    Filed: November 18, 2016
    Date of Patent: April 10, 2018
    Assignee: HERE GLOBAL B.V.
    Inventors: Richard Kwant, Anish Mittal, Anirudh Viswanathan
  • Patent number: 9922425
    Abstract: Disclosed is a method of classifying visual elements in a region of a video as either foreground or background. The method classifies each visual element in the region as either foreground or background using a first classifier, and expands spatially at least one of the visual elements classified as foreground to form a spatially expanded area. The method then classifies the visual elements in the spatially expanded area as either foreground or background using a second classifier that is more sensitive to foreground than the first classifier.
    Type: Grant
    Filed: December 1, 2015
    Date of Patent: March 20, 2018
    Assignee: Canon Kabushiki Kaisha
    Inventors: Ashley John Partis, Amit Kumar Gupta, David Kenji See
  • Patent number: 9922051
    Abstract: Disclosed herein is a system and method that facilitate searching and/or browsing of images by clustering, or grouping, the images into a set of image clusters using facets, such as without limitation visual properties or visual characteristics, of the images, and representing each image cluster by a representative image selected for the image cluster. A map-reduce based probabilistic topic model may be used to identify one or more images belonging to each image cluster and update model parameters.
    Type: Grant
    Filed: August 2, 2016
    Date of Patent: March 20, 2018
    Assignee: OATH INC.
    Inventors: Jia Li, Nadav Golbandi, XianXing Zhang
  • Patent number: 9911067
    Abstract: An image processing apparatus calculating to determine one category, to which an input image data belongs, among categories, which are provided to classify image data, includes a convolution processing unit which performs a convolution process using a first coefficient used for calculating to determine the one category and previously learnt; total combination processing units which are prepared for each category performs a total combination process for a processing result obtained by the convolution processing unit using a second coefficient used for calculating to determine the one category and previously learnt, and calculates to determine the one category; and a normalization unit which performs normalization of a processing result obtained by the total combination processing unit for each category, wherein the convolution processing unit performs learning of the first coefficient in common with the categories, and the total combination processing unit performs learning of the second coefficient for each c
    Type: Grant
    Filed: May 13, 2015
    Date of Patent: March 6, 2018
    Assignee: Ricoh Company, Ltd.
    Inventor: Satoshi Hikida
  • Patent number: 9888180
    Abstract: An easy-to-use online video stabilization system and methods for its use are described. Videos are stabilized after capture, and therefore the stabilization works on all forms of video footage including both legacy video and freshly captured video. In one implementation, the video stabilization system is fully automatic, requiring no input or parameter settings by the user other than the video itself. The video stabilization system uses a cascaded motion model to choose the correction that is applied to different frames of a video. In various implementations, the video stabilization system is capable of detecting and correcting high frequency jitter artifacts, low frequency shake artifacts, rolling shutter artifacts, significant foreground motion, poor lighting, scene cuts, and both long and short videos.
    Type: Grant
    Filed: March 20, 2017
    Date of Patent: February 6, 2018
    Assignee: GOOGLE LLC
    Inventors: Matthias Grundmann, Vivek Kwatra, Irfan Essa
  • Patent number: 9855802
    Abstract: Embodiments relate to a Radio Frequency IDentification (RFID)-tag, a Tire Pressure Monitoring System (TPMS) device, a tire, a receiver device and a method for providing information related to identification of a tire. The RFID-tag is configured to provide information related to the tire identification and it is configured to be powered by the TPMS device. The RFID-tag comprises a memory module configured to store the information related to the tire identification and a transmitter module configured to transmit the information related to the tire identification to a receiver device of a vehicle or a service station. The TPMS device comprises a coupling element configured to provide Radio Frequency power to the RFID-tag, for providing information related to tire identification.
    Type: Grant
    Filed: February 1, 2016
    Date of Patent: January 2, 2018
    Assignee: Infineon Technologies AG
    Inventors: Franz Michael Darrer, Gerald Holweg, Ralf-Rainer Schledz
  • Patent number: 9805253
    Abstract: An image search apparatus includes a display control device, a feature quantity calculation device, a scoring device for scoring the image based upon the values of the feature quantities calculated by the feature quantity calculation device, a first scoring control device, responsive to application of a first move command which moves an image being displayed in the candidate area to a search result area, for controlling the scoring device to raise the value of feature quantities, which correspond to the feature quantities of the image for which the first move command has been applied, and score the multiplicity of images based upon the raised values of the feature quantities, and an image placement decision device for deciding image placement in such a manner that a predetermined number of images having high scores obtained are displayed in the search result area, and other images are displayed in the candidate area.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: October 31, 2017
    Assignee: FUJIFILM Corporation
    Inventor: Yukinori Noguchi
  • Patent number: 9798959
    Abstract: A method and a system for recognizing faces have been disclosed. The method may comprise: retrieving a pair of face images; segmenting each of the retrieved face images into a plurality of image patches, wherein each patch in one image and a corresponding one in the other image form a pair of patches; determining a first similarity of each pair of patches; determining, from all pair of patches, a second similarity of the pair of face images; and fusing the first similarity determined for the each pair of patches and the second similarity determined for the pair of face images.
    Type: Grant
    Filed: November 30, 2013
    Date of Patent: October 24, 2017
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD
    Inventors: Xiaoou Tang, Chaochao Lu, Deli Zhao
  • Patent number: 9799126
    Abstract: An apparatus for performing a non-local means (NLM) filter is described. The pixel of the NLM-filtered image are weighted averages of pixels from a noisy image, where the weights are a measure of the similarity between patches of the noisy image. The similarity weights can be calculated using a Kullback-Leibler or a Euclidean distance measure. The similarity weights can be based on filtered patches of the noisy image. The similarity weights can be based on a similarity measure between patches of an anatomical image corresponding to the noisy image. The similarity weights can be calculated using a time series of noisy images to increase the statistical sample size of the patches. The similarity weights can be calculated using a weighted sum of channel similarity weights calculated between patches of noisy image that have been band-pass filtered. The NLM-filtered image can also be blended with a non-NLM-filtered image.
    Type: Grant
    Filed: October 2, 2015
    Date of Patent: October 24, 2017
    Assignee: Toshiba Medical Systems Corporation
    Inventors: Wenyuan Qi, Xiaofeng Niu, Evren Asma, Wenli Wang, Ting Xia
  • Patent number: 9792000
    Abstract: A system construction assistance apparatus includes a first display screen, a second display screen, and a processing section displaying units each belonging to one of categories on the first display screen such that the units are sorted by category, receiving a first input to select one unit from the units displayed on the first display screen, generating a system configuration diagram on the basis of the received first input, and displaying the generated system configuration diagram on the second display screen. After a first input is newly received and before a next first input is received, the processing section predicts a category to which a unit to be selected by the next first input belongs on the basis of first inputs received in a past and presents the predicted category as a candidate category to a user.
    Type: Grant
    Filed: March 18, 2014
    Date of Patent: October 17, 2017
    Assignee: Mitsubishi Electric Corporation
    Inventors: Yuzuru Tone, Masaru Nagashima, Takayuki Amano
  • Patent number: 9787819
    Abstract: A portion of speech is captured when spoken by a near-end user. A near-end user terminal conducts a communication session, over a network, between the near-end user and one or more far-end users, the session including a message sent to the one or more far-end users. A vetting mechanism is provided via a touchscreen user interface of the near-end user terminal, to allow the near-end user to vet an estimated transcription of the portion of speech prior to being sent to the one or more far-end users in the message. According to the vetting mechanism: (i) a first gesture performed by the near-end user through the touchscreen user interface accepts the estimated transcription to be included in a predetermined role in the sent message, while (ii) one or more second gestures performed by the near-end user through the touchscreen user interface each reject the estimated transcription to be sent in the message.
    Type: Grant
    Filed: September 18, 2015
    Date of Patent: October 10, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventor: Nikolay Abkairov
  • Patent number: 9774248
    Abstract: A controller for use in a power converter includes a switch controller coupled to a power switch coupled to an energy transfer element. The switch controller is coupled to receive a current sense signal representative of a drain current through the power switch. The switch controller is coupled to generate a drive signal to control switching of the power switch in response to the current sense signal and a modulated current limit signal to control a transfer of energy from an input to an output of the power converter. A current limit generator is coupled to generate a current limit signal. A jitter generator is coupled to generate a jitter signal. An arithmetic operator circuit is coupled to generate the modulated current limit signal in response to the current limit signal and the jitter signal.
    Type: Grant
    Filed: October 13, 2015
    Date of Patent: September 26, 2017
    Assignee: Power Integrations, Inc.
    Inventors: Roland Sylvere Saint-Pierre, Giao Minh Pham, Lance M. Wong, David Michael Hugh Matthews
  • Patent number: 9760786
    Abstract: The present disclosure is directed to systems, methods, and devices that enable the revising of Optical Character Recognition (OCR) data by indexing and displaying potential error locations within the OCR data. The primary method for revising the OCR data includes a terminal device indexing, displaying, receiving editing operations for, and editing the OCR data. The terminal device is configured to revise OCR data and includes an OCR review element, which, in some embodiments, is a software stored on a non-transitory, computer-readable medium, that is executed by a processing unit to cause the terminal device to index, display, receive editing operations for, and edit the OCR data.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: September 12, 2017
    Assignee: KYOCERA Document Solutions Inc.
    Inventors: Allan Sahagun, Jacek Joseph Matysiak
  • Patent number: 9760990
    Abstract: A method for a cloud-based feedback-driven image training and recognition includes receiving a set of expert annotations of a plurality of training images of a predetermined subject matter, wherein the expert annotations include a clinical diagnosis for each image or region of interest in an image, training one or more classification models from the set of expert annotations, testing the one or more classification models on a plurality of test images that are different from the training images, wherein each classification model yields a clinical diagnosis for each image and a confidence score for that diagnosis, and receiving expert classification result feedback regarding the clinical diagnosis for each image and a confidence score yielded by each classification model.
    Type: Grant
    Filed: June 12, 2015
    Date of Patent: September 12, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Mani Abedini, Stefan Von Cavallar, Rajib Chakravorty, Matthew Aaron Davis, Rahil Garnavi
  • Patent number: 9747421
    Abstract: A medical imaging decision support system is provided that can conduct, and help medical professionals conduct multi-factor brain analysis. Data for disparate processing modes (for example, EEG, MRI, etc.) can be input to the system, processed in parallel in a cloud environment, and the results can be rendered in a thin client (for example, browser) for a user's rapid multi-modal evaluation of a brain.
    Type: Grant
    Filed: February 9, 2015
    Date of Patent: August 29, 2017
    Assignee: Picofemto LLC
    Inventors: Srikant Krishna, Fatih Sirin, Dhinakaran Chinappen, Robert Callan, William C. Bubel, Brian Kennedy
  • Patent number: 9710703
    Abstract: A method for detecting texts included in a specific image is disclosed. The method includes steps of: (a) an apparatus detecting or allowing another device to detect one or more text candidates in the specific image by referring to feature values of pixels in the specific image; (b) the apparatus classifying or allowing another device to classify one or more weak texts in the specific image as strong texts by referring to information on at least one text classified as the strong text in another image related to the specific image if more than a certain percentage of the detected text candidates are classified as the weak texts as a result of comparison between at least one threshold value and at least one feature value of at least one pixel selected in a region where the detected text candidates are included or a value converted from the feature value.
    Type: Grant
    Filed: July 15, 2016
    Date of Patent: July 18, 2017
    Assignee: StradVision, Inc.
    Inventor: Hojin Cho
  • Patent number: 9697440
    Abstract: In the present disclosure, a client feature and a pre-stored template image feature are obtained; the obtained client feature and template image feature are projected according to a preset projection matrix, to generate a projection feature pair, where the projection matrix is formed by training of a first template image feature of a same object and a second template image feature of a different object; and similarity calculation is performed on the projection feature pair according to a preset similarity calculation rule, to generate a similarity result and prompt the similarity result to a client.
    Type: Grant
    Filed: September 27, 2013
    Date of Patent: July 4, 2017
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Pengfei Xiong, Hailong Liu, Bo Chen
  • Patent number: 9659239
    Abstract: An image acquisition unit of a machine learning device acquires n learning images assigned with labels to be used for categorization (n is a natural number larger than or equal to 2). A feature vector acquisition unit acquires a feature vector representing a feature from each of the n learning images. A vector conversion unit converts the feature vector for each of the n learning images to a similarity feature vector based on a similarity degree between the learning images. A classification condition learning unit learns a classification condition for categorizing the n learning images, based on the similarity feature vector converted by the vector conversion unit and the label assigned to each of the n learning images. A classification unit categorizes unlabeled testing images in accordance with the classification condition learned by the classification condition learning unit.
    Type: Grant
    Filed: September 10, 2015
    Date of Patent: May 23, 2017
    Assignee: CASIO COMPUTER CO., LTD.
    Inventor: Kazuhisa Matsunaga
  • Patent number: 9629189
    Abstract: A system according to the principles of the present disclosure includes a communication module and a control module. The communication module transmits a first wireless signal indicating a request from a user of a vehicle to adjust operation of a powertrain in the vehicle, a display in the vehicle, and/or a noise actuator in the vehicle. The communication module receives a second wireless signal enabling operation of the powertrain, the display, and/or the noise actuator to be adjusted according to the request. The control module controls the powertrain, the display, and/or the noise actuator based on a first set of values for a control parameter before the second wireless signal is received. The control module controls the powertrain, the display, and/or the noise actuator based on a second set of values for the control parameter after the second wireless signal is received.
    Type: Grant
    Filed: November 17, 2014
    Date of Patent: April 18, 2017
    Assignee: GM Global Technology Operations LLC
    Inventors: David P. Sczomak, Robert S. Levy
  • Patent number: 9600231
    Abstract: A revised support vector machine (SVM) classifier is offered to distinguish between true keywords and false positives based on output from a keyword spotting component of a speech recognition system. The SVM operates on a reduced set of feature dimensions, where the feature dimensions are selected based on their ability to distinguish between true keywords and false positives. Further, support vectors pairs are merged to create a reduced set of re-weighted support vectors. These techniques result in an SVM that may be operated using reduced computing resources, thus improving system performance.
    Type: Grant
    Filed: June 26, 2015
    Date of Patent: March 21, 2017
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Ming Sun, Björn Hoffmeister, Shiv Naga Prasad Vitaladevuni, Varun Kumar Nagaraja
  • Patent number: 9600735
    Abstract: An image processing device is provided with an acquiring unit configured to acquire a face image and, a control unit configured to specify a face direction in the face image acquired by the acquiring unit and add, based on the specified face direction, a picture expressing a contour of a face component to the face image.
    Type: Grant
    Filed: March 16, 2015
    Date of Patent: March 21, 2017
    Assignee: CASIO COMPUTER CO., LTD.
    Inventors: Kouichi Nakagome, Shigeru Kafuku
  • Patent number: 9571597
    Abstract: The present disclosure discloses a multimedia file push method and apparatus, and relates to the field of network technologies. The method includes: obtaining first visual feature information, where the first visual feature information is visual feature information of a to-be-pushed multimedia file; determining a first user identity according to the first visual feature information, where the first user identity is a push target user identity of the to-be-pushed multimedia file; and pushing the to-be-pushed multimedia file according to the first user identity.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: February 14, 2017
    Assignee: Tencent Technology (Shenzhen) Company Limited
    Inventor: Lei Xiao