42nd week of 2017 patent applcation highlights part 51 |
Patent application number | Title | Published |
20170300731 | INTERACTIVE ELECTRONIC DEVICE - An interactive electronic device includes an image capture module, a response module and a processing module. The image capture module is for capturing images. The processing module is for generating a first or second command set according to the image and output a control signal. The response module is for driving the interactive electronic device to perform a first continuous reaction corresponding to a specific pattern contained in the image according to the first command set or drive the interactive electronic device to perform a second continuous reaction according to the second command set. The processing module is further for replacing, adding or deleting at least a command in the first command set in a random manner thereby randomly obtaining a new command set. | 2017-10-19 |
20170300732 | CLOUD-BASED AUTHENTICATION OF USER DEVICES FOR ONBOARDING TO A WI-FI NETWORK - Cloud-based authentication is provided for additional user stations of a user once a trusted user station has been established. Responsive to a match in a common QR-code received from the trusted user station and a second user station, one or more access points associated with the user is identified. The second station is associated with the user and with the one or more access points including sending credentials for authorizing the second station with the one or more access points. When a subsequent request for network access from the second station at the one or more access points, Wi-Fi services are automatically provided from the one of more access points to the second user station, without requiring the second user station to enter authentication credentials. | 2017-10-19 |
20170300733 | INFORMATION ACQUISITION SYSTEM, COMMUNICATION TERMINAL, INFORMATION ACQUISITION PROGRAM, SERVER, AND INFORMATION PROVISION PROGRAM - An information acquisition system includes a communication terminal that reads an information code storing the point information and a service ID; and a server that stores point information and a service ID in association with each other, the communication terminal accessing the server and acquiring the point information from the server. The communication terminal extracts the point information and the service ID from the information code to transmit to the server the point information and the service ID. At a time of reception of the point information and the service ID, the server extracts, from the point information stored in the server, association point information corresponding to the point information that correlates with the service ID received from the communication terminal, and transmits the association point information to the communication terminal. The communication terminal outputs the point information, and the association point information received from the server. | 2017-10-19 |
20170300734 | BARCODE SCANNING AND DIMENSIONING - Implementations relate to a device and method for barcode scanning and dimensioning. In some implementations, the method includes acquiring a two-dimensional (2D) preview image of an object, and processing the 2D preview image to determine one or more dark areas and to determine a location of a code on the object. The method also includes acquiring a three-dimensional (3D) image of the object based on the one or more dark areas, and processing the 3D image to determine depth data and to determine dimensions of the object. The method also includes acquiring a 2D data capture image of the object based on the depth data in the processed 3D image, where the 2D data capture image captures the code. The method also includes reading the code based on the 2D data capture image. | 2017-10-19 |
20170300735 | FINGERPRINT IDENTIFICATION MODULE, FINGERPRINT IDENTIFICATION METHOD AND DISPLAY DEVICE - Embodiments of the present disclosure provide a fingerprint identification module, a fingerprint identification method and a display device. The fingerprint identification module includes: a capacitive sensor having a plurality of capacitive electrodes which do not contact with each other, the capacitive sensor being configured to identify a fingerprint of a finger based on induced capacitances generated between the capacitive electrodes and ridges in an epidermal layer of the finger and generated between the capacitive electrodes and valleys in the epidermal layer; a radio-frequency sensor having a plurality of radio-frequency receiving electrodes which do not contact with each other, the radio-frequency sensor being configured to identify the fingerprint based on reflected signals received by the radio-frequency receiving electrodes; and a controller configured to activate the radio-frequency sensor to identify the fingerprint when fingerprint information identified by the capacitive sensor is not consistent with fingerprint information pre-stored in the fingerprint identification module. | 2017-10-19 |
20170300736 | ELECTRONIC DEVICE SUPPORTING FINGERPRINT VERIFICATION AND METHOD FOR OPERATING THE SAME - An electronic device and method of operating an electronic device is provided. The electronic device a display in which a fingerprint recognition area is formed in at least one portion thereof; a fingerprint sensor disposed under the display on which a screen is displayed, wherein the fingerprint sensor is adapted to acquire image information related to authentication of a fingerprint corresponding to an object that approaches a fingerprint recognition area at least partially based on light radiated from at least one pixel of the display and reflected by the object; and a processor adapted to control at least one function of the fingerprint sensor in association with the operation of acquiring the image information. | 2017-10-19 |
20170300737 | CONTEXT-BASED AUTONOMOUS PERCEPTION - A method of performing context-based autonomous perception is provided. The method includes acquiring perception sensor data as an image by an autonomous perception system that includes a processing system coupled to a perception sensor system. Feature extraction is performed on the image by the autonomous perception system. The feature extraction identifies one or more features in the image. Contextual information associated with one or more conditions present upon acquiring the perception sensor data is determined. One or more labeled reference images are retrieved from at least one of a contextually-indexed database based on the contextual information, a feature-indexed database based on at least one of the features extracted, and a combined contextually- and feature-indexed database. The image is parsed, and one or more semantic labels are transferred from the one or more labeled reference images to form a semantically labeled version of the image. | 2017-10-19 |
20170300738 | FINGERPRINT RECOGNITION METHOD AND FINGERPRINT RECOGNITION APPARATUS - Embodiments of the present disclosure provide a fingerprint recognition method and a fingerprint recognition apparatus, where the method includes: collecting a plurality of optical signals of a finger to be detected; and judging whether the finger to be detected is a living body according to the plurality of optical signals of the finger to be detected. The method provided in the embodiments of the present disclosure may improve the security of the fingerprint recognition technology, and may effectively avoid the problem that fingerprint recognition is cracked using an artificial body fingerprint. | 2017-10-19 |
20170300739 | FINGERPRINT AUTHENTICATION SYSTEM AND METHOD - According to a first aspect of the present disclosure, a fingerprint authentication system is provided, comprising: a transformation unit configured to transform a first format of a captured fingerprint into a second format of the captured fingerprint, wherein the first format defines coordinates of minutia positions and the second format defines relative positions of minutiae; and an authentication unit configured to compare the relative positions with stored reference values. According to a second aspect of the present disclosure, a corresponding fingerprint authentication method is conceived. According to a third aspect of the present disclosure, a corresponding computer program product is provided. | 2017-10-19 |
20170300740 | MULTI-RESOLUTION FINGERPRINT SENSOR - Multi-resolution fingerprint sensors and methods of using the same are provided. The multi-resolution fingerprint sensors each include a portion of the imaging area or region of the sensor that provides higher imaging resolution than the remaining imaging area of the sensor. The area of higher resolution is useful for anti-spoofing purposes, but because only a portion of the sensor is higher-resolution, advantageously it will not impact hardware costs nearly as much as a sensor that was higher resolution over its entire imaging area. Furthermore, the higher resolution area can be down-sampled so there would be no impact on the standard matcher and image processing software stack, which expects a uniform resolution for the entire image acquired. | 2017-10-19 |
20170300741 | DETERMINING FACIAL PARAMETERS - A device includes an input to sequential data associated to a face; a predictor configured to predict facial parameters; and a corrector configured to correct the predicted facial parameters on the basis of input data, the input data containing geometric measurements and other information. A related method and a related computer program are also disclosed. | 2017-10-19 |
20170300742 | SYSTEMS AND METHODS FOR RECOGNIZING AN OBJECT IN AN IMAGE - An electronic device is described. The electronic device includes a memory configured to store a composite search space comprising a plurality of adjacent cells. Each of the adjacent cells includes a representation of an object. The electronic device also includes a dedicated engine configured to match a representation of an object from a captured image with the representations of the objects in the composite search space. | 2017-10-19 |
20170300743 | SCALE WITH USER VERIFICATION FOR USE IN WEIGHT LOSS COMPETITIONS - A method includes receiving, via an electronic scale device supporting a user thereon, an indication to begin a verified weight sequence. Responsive to the indication to begin, the method includes: (1) determining a body weight of the user supported by the electronic scale device, (2) receiving, via an electronic device, image data that is reproducible as a visual image of at least a portion of the user supported on the housing of the scale, and (3) generating a data file including: (a) weight data that is representative of the determined body weight of the user supported by the housing, (b) the image data, and (c) time data corresponding to a date and time that the body weight of the user was determined. | 2017-10-19 |
20170300744 | METHOD AND APPARATUS FOR DETERMINING IDENTITY IDENTIFIER OF FACE IN FACE IMAGE, AND TERMINAL - The present invention provides a method and an apparatus for determining an identity identifier of a face in a face image, and a terminal. The method includes: obtaining an original feature vector of a face image; selecting k candidate vectors from a face image database; selecting a matching vector of the original feature vector from the k candidate vectors; and determining, an identity identifier that is of the matching vector. In embodiments of the present invention, a face image database stores a medium-level feature vector formed by means of mutual interaction between a low-level face feature vector and autocorrelation and cross-correlation submatrices in a joint Bayesian probability matrix. The medium-level feature vector includes information about mutual interaction between the face feature vector and the autocorrelation and cross-correlation submatrices in the joint Bayesian probability matrix, so that efficiency and accuracy of facial recognition can be improved. | 2017-10-19 |
20170300745 | MOTION INPUT SYSTEM, MOTION INPUT METHOD AND PROGRAM - To prevent an inconvenience from being generated when a user registers a graphic that the user wants to register. A graphic input device obtains registered graphic data indicating a graphic entered by a user and related information associated with the graphic, calculates similarity between the registered graphic data and one of items of graphic data registered in a dictionary, determines whether the entered graphic and a graphic indicated by the item of graphic data is similar to each other based on the calculated similarity, and, in a case where the entered graphic and the graphic indicated by the item of graphic data is not similar to each other, registers the registered graphic data and the related information in the dictionary in association with each other. | 2017-10-19 |
20170300746 | Organizing Written Notes Using Contextual Data - A system and a method are disclosed for organizing content collected in a pen-based computing system. Content collected in the pen-based computing system includes stroke data collected by a smart pen as well as other contextual data collected by the pen-based computing system. The collected stroke data includes timestamps and positional data. Based on correlations of spatial and temporal data, collected stroke data is grouped into clusters of stroke data. The clusters of stroke data, along with contextual data, are further grouped into snippets based on temporal correlations. | 2017-10-19 |
20170300747 | MACHINE VISION VERIFICATION - Embodiments of systems and methods for directly reading and verifying characters on a personalized document, are provided. A surface of the personalized document is illuminated independently or simultaneously by first and second light sources. The first light source has a ring shape, surrounds the personalized document in 360 degree, and transmits a grazing incident light to illuminate the surface of the personalized document. An incident light from the second light source is reflected by a beam splitter and illuminates the surface of the personalized document in a direction generally perpendicular to the surface. Light reflected from the surface of the personalized document in a direction generally perpendicular to the surface thereof is collected by a camera. | 2017-10-19 |
20170300748 | SCREENPLAY CONTENT ANALYSIS ENGINE AND METHOD - Embodiments of the inventive concept provide a screenplay content analysis engine and associated method for automatically analyzing a screenplay document. The screenplay content analysis engine can include logic sections for interpreting and analyzing the screenplay document. The logic sections can include a screenplay preconditioner logic section, an initial pass interpreter logic section, a second pass interpreter logic section, a deep interpreter logic section, and a screenplay analysis logic section. The method can include preconditioning the screenplay document, performing an initial interpretive pass of nodes associated with the screenplay document, performing a second interpretive pass, performing a deep interpretive pass, performing a screenplay analysis based on the interpretive passes, and displaying summarized information about the screenplay document. The nodes associated with the screenplay document can include left position information, which are grouped together and compared with predefined left positions, so that the various body section types can be detected and stored. | 2017-10-19 |
20170300749 | SYSTEM AND METHODS FOR SEMI-AUTOMATED EDITING OF ORTHO-MOSAICS BUILT FROM REMOTELY-SENSED IMAGERY - A system for automated mosaic-based vector editing comprising a mosaic imaging server that assembles image tiles to form larger image mosaics while correcting the image tiles for tonality and other visual characteristics, a vector analysis server that analyzes vector information, a routing calculation server that calculates routes from the vector information, and a rendering engine that produces visualizations from the routing information, and a method for image mosaic creation and correction. | 2017-10-19 |
20170300750 | USER CLASSIFICATION BASED UPON IMAGES - One or more systems and/or methods for providing content to a user are provided. An image, associated with a user, may be evaluated utilizing an image classifier to identify an object within the image. The object may be utilized to identify a predicted class for the user. In an example, the predicted class may correspond to a life event (e.g., graduating college, having a baby, buying a house, etc.) and/or a life stage (e.g., adolescence, retirement, etc.). Locational information (e.g., a geotag) for the image may be evaluated to determine an image location (e.g., a location where the image was generated). Responsive to the image location corresponding to a home location of the user, the predicted class may be determined to be a class associated with the user. Content (e.g., promotional content) may be selected from a content repository based upon the class and subsequently provided to the user. | 2017-10-19 |
20170300751 | SMART HISTORY FOR COMPUTER-VISION BASED SECURITY SYSTEM - A method for analyzing a video captured by a security system. The method includes obtaining a video of a monitored environment and detecting an occurrence of an event in the video of the monitored environment. Detecting the occurrence of the event includes identifying the presence of a foreground object in the video of the monitored environment and classifying the foreground object. The method further includes tagging the occurrence of the event in the video with the foreground object classification and generating an event history video from the video of the monitored environment, including resampling the video of the monitored environment, the resampling including applying a first event-specific frame drop rate to segments of the video of the monitored environment that include the foreground object, based on the tagging, and applying at least one other frame drop rate to other segments of the video of the monitored environment. | 2017-10-19 |
20170300752 | METHOD AND SYSTEM FOR SUMMARIZING MULTIMEDIA CONTENT - A method and a system are provided for creating a summarized multimedia content. The method extracts one or more frames from a plurality of frames in a multimedia content based on a measure of area occupied by a text content in a portion of each of the plurality of frames. The method selects one or more sentences from an audio content associated with the multimedia content based on at least a weight associated with a plurality of words present in the audio content. The method extracts one or more audio segments from the audio content associated with the multimedia content based on one or more parameters associated with the audio content. The method creates the summarized multimedia content based on the one or more frames, the one or more sentences, and the one or more audio segments. | 2017-10-19 |
20170300753 | ANALYZING VIDEO STREAMS IN AN INDUSTRIAL ENVIRONMENT TO IDENTIFY POTENTIAL PROBLEMS AND SELECT RECIPIENTS FOR A DISPLAY OF VIDEO STREAMS RELATED TO THE POTENTIAL PROBLEMS - The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients. | 2017-10-19 |
20170300754 | VIDEO OBJECT DATA STORAGE AND PROCESSING SYSTEM - A video object data storage and display system comprising a video object data selection and viewing portion and a video object data storage portion. The system comprises a video object having a: scale/size, pose/tilt, location, and frame/time. The system further comprises a database. | 2017-10-19 |
20170300755 | EVENT ANALYSIS AND TAGGING SYSTEM - A system that analyzes data from sensors and video cameras to generated synchronized event videos and to automatically select or generate tags for an event. Enables creating, transferring, obtaining, and storing concise event videos generally without non-event video. Events stored in the database identifies trends, correlations, models, and patterns in event data. Tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags. | 2017-10-19 |
20170300756 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus that selects images for digest reproduction from a plurality of images, comprises: an information acquisition unit configured to acquire, for every image, shooting information generated at a time of shooting; an image evaluation unit configured to derive evaluation values for images based on the shooting information and an evaluation criterion; and an image selection unit configured to select images for digest reproduction by ranking images based on the evaluation values, wherein the image evaluation unit changes the evaluation criterion based on information on a lens used in shooting the images. | 2017-10-19 |
20170300757 | IMAGE CAPTURE WITH PRIVACY PROTECTION - A method of providing obscurant data includes receiving image data including an image of a target and receiving a preference setting corresponding to the target. Obscurant data of at least a portion of the image data corresponding to the target are determined using the received preference setting. A method of providing surveillance image data includes capturing image data including an image of a target, querying a database to receive a preference setting corresponding to the target, determining the obscurant data of the portion of the image data, and selectively modifying the received image data according to the determined obscurant data to provide the surveillance image data. | 2017-10-19 |
20170300758 | SYSTEMS AND METHODS FOR AUTOMATED ANALYTICS FOR SECURITY SURVEILLANCE IN OPERATION AREAS - Systems and methods for cloud-based surveillance for an operation area are disclosed. At least two input capture devices, at least one safety control device and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform automatically generates 3-Dimensional (3D) surveillance data based on received 2-Dimensional (2D) video and/or image inputs and perform advanced analytics and activates the at least one safety control device based on analytics data from advanced analytics. | 2017-10-19 |
20170300759 | AUTOMATED MULTIPLE TARGET DETECTION AND TRACKING SYSTEM - For automated detection and tracking of multiple targets, an apparatus, method, and program product are disclosed. The apparatus includes a camera that captures video data and a processor that compensates for camera motion in the video data, processes the compensated video data to remove noise and spurious returns, detects one or more targets within the processed video data, and identifies target information for each target in the processed video data. | 2017-10-19 |
20170300760 | CAMERA DEVICE FOR THE EXTERIOR REGION OF A BUILDING - A camera system for the exterior region of a building,
| 2017-10-19 |
20170300761 | METHOD OF CALCULATING DIMENSIONS OF A TOWED VEHICLE - A method of calculating at least one dimension of a towed vehicle includes sensing an image of the towed vehicle with an image sensing device. A feature on the towed vehicle in the sensed image of the towed vehicle is identified with a controller using a dimension determination algorithm. The dimension of the towed vehicle is determined from the identified feature of the towed vehicle, with the controller using the dimension determination algorithm. The dimension of the towed vehicle may be input into a vehicle tow controller, to enable the vehicle tow controller to control the tow vehicle. | 2017-10-19 |
20170300762 | INFORMATION PRESENTATION CONTROL APPARATUS, AUTONOMOUS VEHICLE, AND AUTONOMOUS-VEHICLE DRIVING SUPPORT SYSTEM - An information presentation control apparatus includes a selection information obtainer and a presentation controller. The selection information obtainer obtains selection information representing a selection status of a plurality of recognizers that recognize different targets in surroundings of an autonomous vehicle. The presentation controller causes a presentation device mounted in the autonomous vehicle to present driving information in accordance with the selection information, the driving information being based on at least one of control that is executable by the autonomous vehicle and control that is not executable by the autonomous vehicle and being information about at least one of driving by an automated driving system of the autonomous vehicle and driving by a driver. | 2017-10-19 |
20170300763 | ROAD FEATURE DETECTION USING A VEHICLE CAMERA SYSTEM - Examples of techniques for road feature detection using a vehicle camera system are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device, an image from a camera associated with a vehicle on a road. The computer-implemented method further includes generating, by the processing device, a top view of the road based at least in part on the image. The computer-implemented method further includes detecting, by the processing device, lane boundaries of a lane of the road based at least in part on the top view of the road. The computer-implemented method further includes detecting, by the processing device, a road feature within the lane boundaries of the lane of the road using machine learning. | 2017-10-19 |
20170300764 | Travel Route Recognition Device, and Travel Assistance System Using Same - Provided are a travel route recognition device and a travel assistance system using the same, which are capable of precisely recognizing the positions of white lines and road boundaries even if, for example, there is a decrease in the accuracy of the detection of both white lines and road boundaries on the travel route. The direction of the travel route is estimated on the basis of the direction of a linear site included in an image obtained by imaging units, and the direction of the boundaries of a surface region included in a distance image comprising three-dimensional distance information generated on the basis of the images obtained by the imaging units or on the basis of distance information detected by the distance detection unit. | 2017-10-19 |
20170300765 | Freespace Detection Apparatus and Freespace Detection Method - The present invention relates to a freespace detection apparatus and method for identifying. A camera provides at least first and second image data captured at different points in time. Additionally, a motion vector of the camera is detected and assigned to the image data. The image data is transformed with respect to a predetermined, configurable image plane and motion compensation of the transformed image data is performed. Difference image data between the motion compensated transformed image data is computed and an object is identified in the computed difference image data. | 2017-10-19 |
20170300766 | SYSTEM AND METHOD FOR VERIFICATION OF LAMP OPERATION - According to the present invention, a system for verifying a lamp operation includes: a camera for acquiring an image around the vehicle; and an image processor for determining whether the lamp is broken based on the image acquired by the camera, in which the image processor receives a turn on state of the lamp through internal communication of the vehicle connected to the lamp and is operated in synchronization with timing at which the lamp is turned on and the image processor determines whether the lamp is broken by comparing images before and after the lamp is turned on if it is determined that the lamp is turned on. | 2017-10-19 |
20170300767 | PARALLEL SCENE PRIMITIVE DETECTION USING A SURROUND CAMERA SYSTEM - Techniques for road scene primitive detection using a vehicle camera system are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device having at least two parallel processing cores, at least one image from a camera associated with a vehicle on a road. The processing device generates a plurality of views from the at least one image that include a feature primitive. The feature primitive is indicative of a vehicle or other road scene entities of interest. Using each of the parallel processing cores, a set of primitives are identified from one or more of the plurality of views. The feature primitives are identified using one or more of machine learning and classic computer vision techniques. The processing device outputs, based on the plurality of views, result primitives based on the plurality of identified primitives from multiple views based on the plurality of identified entities. | 2017-10-19 |
20170300768 | METHOD FOR DETERMINING AND DISPLAYING PRODUCTS ON AN ELECTRONIC DISPLAY DEVICE - A method for finding and displaying products on a display device of an electronic data processing device is provided. The method includes recognizing an image or image section with at least one imaged object displayed on the display device when the cursor of the data processing device moves into an area of the image or image section. The recognized image or image section is designated with a trigger when the cursor of the data processing device moves into the area of the image or image section and the trigger is superimposed on the area of the recognized image or image section on the display device. The displayed image is segmented and at least one object is detected by an analysis of visual content of the designated image or image section by actuating the superimposed trigger. The at least one detected object may be displayed on the display device. | 2017-10-19 |
20170300769 | DETERMINING A BOUNDARY ASSOCIATED WITH IMAGE DATA - A method and device for determining a boundary associated with image data captured by an electronic device is provided. The electronic device may include a camera. In one aspect, a method includes: capturing the image data using the camera; based on the captured image data, detecting a boundary marker displayed by a display device, the boundary marker is periodically displayed to be undetectable by a human eye that is viewing the display device; and modifying, based on the boundary marker, image data captured by the camera. | 2017-10-19 |
20170300770 | MARK INFORMATION RECORDING APPARATUS, MARK INFORMATION PRESENTING APPARATUS, MARK INFORMATION RECORDING METHOD, AND MARK INFORMATION PRESENTING METHOD - A mark information recording apparatus includes an output unit and a recording unit. The output unit is configured to output, for displaying a partial image being a part of an entire image having an arbitrary resolution among entire images generated at a plurality of different resolutions with respect to a single target, the partial image. The recording unit is configured to associate mark information with information on a position within the entire image and information on the resolution of the output partial image and record the mark information. | 2017-10-19 |
20170300771 | Image Classification for Adjustment - Image classification techniques are described for adjustment of an image. In one or more implementations, an image is classified by one or more computing device based on suitability of the image for adjustment to correct perspective distortion of the image. Responsive to a classification of the image as not suitable for the adjustment, suitability of the image is detected for processing by a different image adjustment technique by the one or more computing devices. | 2017-10-19 |
20170300772 | CHARACTER STRING RECOGNITION DEVICE - The present disclosure prevents erroneous recognition of a character string that is not actually contained in a video. In the present disclosure, a rectangular region extraction section ( | 2017-10-19 |
20170300773 | Efficient SIMD Implementation of 3x3 Non Maxima Suppression of sparse 2D image feature points - This invention transforms a list of feature points in raster scan order into a list of maxima suppressed feature points. A working buffer has two more entries than the width of the original image. Each entry is assigned to an x coordinate of the original image. Each entry stores a combined y coordinate and reliability score for each feature point in the original list. This process involves a forward scan and a backward scan. For each original feature point its x coordinate defines the location within the working buffer where neighbor feature points would be stored if they exist. The working buffer initial data and the y coordinates assure a non suppress comparison result if the potential neighbors are not actual neighbors. For actual neighbor data, the y coordinates match and the comparison result depends solely upon the relative reliability scores. | 2017-10-19 |
20170300774 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING PROGRAM, AND RECORDING MEDIUM - An image processing device configured to process image data obtained externally, the image processing device including a preprocessing circuit configured to carry out preprocessing during image processing; and a circuit configuration controller configured to carry out partial reconfiguration of the preprocessing circuit; the preprocessing circuit including: a plurality of arithmetic converter circuits configured to perform arithmetic computations on image data to convert the image data; and a timing control circuit provided between each one in the plurality of arithmetic converter circuits connected in order of processing, the timing control circuit configured to secure the reliable exchange of data; and the circuit configuration controller partially reconfiguring at least one arithmetic converter circuit in the plurality of arithmetic converter circuits while not partially reconfiguring the timing control circuit. | 2017-10-19 |
20170300775 | METHOD FOR TRANSFORMING AN IMAGE DESCRIPTOR BASED ON A GRADIENT HISTOGRAM AND RELATIVE IMAGE PROCESSING APPARATUS - A method for transforming an image descriptor, based on a gradient histogram (h) having a plurality of histogram bins (h | 2017-10-19 |
20170300776 | IMAGE IDENTIFICATION SYSTEM - A first arithmetic apparatus performs an arithmetic process, out of a plurality of arithmetic processes in identification processing on an input image, in which the parameter amount that is used is small compared to an amount of data to which the parameters are applied. A second arithmetic apparatus performs an arithmetic process, out of the plurality of arithmetic processes, in which the parameter amount that is used is large compared to an amount of data to which the parameters are applied. The second arithmetic apparatus can use a larger memory capacity memory than the first arithmetic apparatus. | 2017-10-19 |
20170300777 | Method and Device for Establishing Correspondence Between Objects in a Multi-Image Source Environment - In one implementation, a method includes generating a set of candidate objects based at least in part on a set of image data, where the set of image data includes image data from a plurality of image sources. The method also includes generating a set of visual signatures, wherein each of the visual signatures in the set of visual signatures characterizes a candidate object in the set of candidate objects. The method further includes transforming at least two candidate objects in the set of candidate objects into a single object according to a determination that correspondence between visual signatures for the at least two candidate objects satisfies one or more correspondence criteria. | 2017-10-19 |
20170300778 | OBJECT TRACKING DEVICE AND METHOD - An object tracking device and method and image shooting apparatus are provided. The object tracking device includes a processor and a memory, wherein the processor includes an image preprocessing module; a super-pixel matching module; and a background masking module configured to mask a super-pixel image having a matching area, in order to obtain a super-pixel masked image whose background area outside of the matching area is masked. The present invention is able to eliminate obstacles from a output area by a way of background masking, accurately and stably tracking the object. | 2017-10-19 |
20170300779 | COUPON READER - When reading a coupon that displays a pattern when a target substance is detected, recognition of the target pattern can be hindered by nonuniform illumination of the coupon. In one aspect, methods and devices are disclosed for uniform illumination of a coupon using a negative axicon lens and a light diffusing assembly. In another separate aspect, methods are disclosed for mathematically compensating for nonuniform illumination of a coupon. | 2017-10-19 |
20170300780 | OBJECT DETECTION APPARATUS - In an object detection apparatus, a first trajectory estimation unit estimates a trajectory of a first object detected by an electromagnetic wave sensor. An optical flow acquisition unit image-processes a captured image acquired from a camera to acquire movement directions based on optical flows of feature points in the captured image. A movement direction match determination unit determines whether or not a match occurs between a movement direction based on the optical flows and a movement direction based on the trajectory of the first object. If a match occurs between the movement direction based on the optical flows of the plurality of feature points and the movement direction based on the trajectory of the first object, a sameness determination unit determines that a second object identified by the plurality of feature points and the first object are a same object. | 2017-10-19 |
20170300781 | SYSTEM AND METHOD OF ANALYZING IMAGES USING A HIERARCHICAL SET OF MODELS - One or more image parameters of an image may be analyzed using a hierarchical set of models. Executing individual models in the set of models may generate outputs from analysis of different image parameters of the image. Inputs of one or more of the models may be conditioned on a set of outputs derived from one or more preceding model in the hierarchy. | 2017-10-19 |
20170300782 | METHODS AND SYSTEMS OF PERSONALIZED PHOTO ALBUMS BASED ON SOCIAL MEDIA DATA - Embodiments include methods, and mobile computing devices, and computer program products for creating personalized photo albums on mobile computing devices based on social media data. Aspects include: accessing, via mobile computing device, various photos taken by a user of mobile computing device, retrieving, from one or more social media streams, various media photos posted by user of the mobile computing device, extracting image features from the photos and the media photos, and text features from the media photos, generating photo clusters based on the image features of the photos, and media photo clusters based on the image features of the media photos, respectively, matching the photo clusters and the media photo clusters, tagging the photo clusters and the media photo clusters matched based on the text features extracted from the media photos, and generating a personalized photo album based on the photo clusters tagged and the media photo clusters tagged. | 2017-10-19 |
20170300783 | TARGET DOMAIN CHARACTERIZATION FOR DATA AUGMENTATION - Methods, systems, and processor-readable media for training data augmentation. A source domain and a target domain are provided, and thereafter an operation is performed to augment data in the source domain with transformations utilizing characteristics learned from the target domain. The augmented data is then used to improve image classification accuracy in a new domain. | 2017-10-19 |
20170300784 | SYSTEMS AND METHODS FOR IMAGE OBJECT RECOGNITION BASED ON LOCATION INFORMATION AND OBJECT CATEGORIES - Systems, methods, and non-transitory computer-readable media can identify a set of regions corresponding to a geographical area. A collection of training images can be acquired. Each training image in the collection can be associated with one or more respective recognized objects and with a respective region in the set of regions. Histogram metrics for a plurality of object categories within each region in the set of regions can be determined based at least in part on the collection of training images. A neural network can be developed based at least in part on the histogram metrics for the plurality of object categories within each region in the set of regions and on the collection of training images. | 2017-10-19 |
20170300785 | DEEP CONVOLUTIONAL NEURAL NETWORK PREDICTION OF IMAGE PROFESSIONALISM - In an example embodiment, a deep convolutional neural network (DCNN) is created to assign a professionalism score to an input image. The professionalism score indicates a perceived professionalism of a subject of the input image. The DCNN is designed to automatically learn features of images relevant to the professionalism through a training process. | 2017-10-19 |
20170300786 | METHODS AND SYSTEMS FOR ACCURATELY RECOGNIZING VEHICLE LICENSE PLATES - The present invention discloses methods, systems and computer programmable products for detecting license plates and recognizing characters in the licence plates. The system receives an image and identifies one or more regions including a license plate. The one or more regions are converted into a plurality of binarized images, which are then filtered to remove noise. Next, one or more clusters of characters are identified in the plurality of binarized images. The one or more clusters of characters are analyzed to recognize a set of characters, wherein each character in the set includes a confidence value. | 2017-10-19 |
20170300787 | APPARATUS AND METHOD FOR CLASSIFYING PATTERN IN IMAGE - An image processing apparatus includes a generation unit that generates feature data based on an image, classification units that classify a predetermined pattern by referring to the feature data, and a control unit that controls operations of the classification units. The classification units include a first classification unit and a second classification unit, processing results of which do not depend on each other, and a third classification unit. The first and the second classification units are operated in parallel. When either of the first and the second classification units determines that a classification condition is not satisfied, the control unit stops operations of all of the classification units. When both the first and the second classification units determine the classification condition is satisfied, the control unit operates the third classification unit by using classification results of the first and the second classification units. | 2017-10-19 |
20170300788 | METHOD FOR OBJECT DETECTION IN DIGITAL IMAGE AND VIDEO USING SPIKING NEURAL NETWORKS - Described is a system for object detection in images or videos using spiking neural networks. An intensity saliency map is generated from an intensity of an input image having color components using a spiking neural network. Additionally, a color saliency map is generated from a plurality of colors in the input image using a spiking neural network. An object detection model is generated by combining the intensity saliency map and multiple color saliency maps. The object detection model is used to detect multiple objects of interest in the input image. | 2017-10-19 |
20170300789 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - An image processing apparatus includes a reception unit configured to receive PDL data, an intermediate data generation unit configured to generate intermediate data on a basis of the received PDL data, a determination unit configured to determine units of generation for the intermediate data, and a transmission unit configured to transmit the intermediate data to a raster image generation unit configured to generate a raster image from the intermediate data each time the intermediate data is generated. The intermediate data includes edge information and filling information corresponding to an area surrounded by respective edges. The determination unit determines units of generation for the edge information and units of generation for the filling information. When the intermediate data generated by the generation unit is large, the units for the generation of the filling information are set to be larger than the units for the generation of the intermediate data. | 2017-10-19 |
20170300790 | DURABLE CARD - Cards embodying the invention include a core subassembly whose elements define the functionality of the card and a hard coat subassembly attached to the top and/or bottom sides of the core subassembly to protect the core subassembly from wear and tear and being scratched. The core subassembly may be formed solely of plastic layers or of different combinations of plastic and metal layers and may include all the elements of a smart card enabling contactless RF communication and/or direct contact communication. The hard coat subassembly includes a hard coat layer, which typically includes nanoparticles, and a buffer or primer layer formed so as to be attached between the hard coat layer and the core subassembly for enabling the lasering of the core subassembly without negatively impacting the hard coat layer and/or for imparting color to the card. | 2017-10-19 |
20170300791 | Barcoded Indicators for Quality Management - A barcoded indicator operative to provide a machine-readable indication of exceedance of at least one threshold by at least one product quality affecting parameter, the barcoded indicator including at least a first barcode and at least a second barcode, the at least a second barcode being in a second barcode unreadable state prior to exceedance of the at least one threshold and upon exceedance of the at least one threshold the at least a first barcode becoming unreadable and generally simultaneously the at least a second barcode becoming readable. | 2017-10-19 |
20170300792 | AUDIBLE BARCODE SYSTEM - A system using a mobile Internet device with ability to scan a barcode in which a uniform resource locator (URL) is placed, and plays a transmitted audio signal activated by the URL in a Cloud database where both audio and word contents are stored. From general information for direction, instruction and information on the bottle of medicine, nutrition facts and ingredient tables on the packages of food, monthly bills, invoices, menu, magazines, to advertisement—all are either possessed of limited language translation options or use small font to explain something in a limited space. The system provides translation options and an audible signal. | 2017-10-19 |
20170300793 | METHOD AND DEVICE FOR PAGE SYNCHRONIZATION - The present disclosure provides a page synchronization method. The method includes: acquiring and parsing a two-dimensional code to obtain to-be-synchronized page data contained in the two-dimensional code; identifying a page address and page progress information from the to-be-synchronized page data; generating an execution code for indicating the page progress according to the page progress information; loading a page according to the page address; and executing the execution code while loading the page, and displaying the page according to the page progress indicated in the execution code. The disclosed method can solve the problem in the prior art that the page progress cannot be automatically synchronized during page synchronization, and can thus improve the user experience. | 2017-10-19 |
20170300794 | Method and Apparatus for Tracking Assets in One or More Optical Domains - In one implementation, a method of tracking assets includes obtaining a first image in a first optical domain, where the first optical domain is characterized by a first frequency range. The method also includes detecting a tracking apparatus (e.g., a tag) within the first image in the first optical domain, where a first feature of the tracking apparatus serves as a beacon enabling optical discrimination of the tracking apparatus in the first frequency range. The method further includes determining information associated with the tracking apparatus based on the arrangement of a second feature of the tracking apparatus provided to convey a data set associated with the tracking apparatus. | 2017-10-19 |
20170300795 | Multi-Sized Subscriber Identity Module Card for Use on Multiple Wireless Devices - A subscriber identity module card for wireless devices, having a top surface, a bottom surface, a first cut-out space, a first material layer arranged on the bottom surface, a second memory card secured within said first cut-out space, said second memory card having said first material layer arranged on a bottom surface of said second memory card and having a second cut-out space, and a third memory card secured within said second cut-out space, said third memory card having a second material layer arranged on a bottom surface of said third memory card. | 2017-10-19 |
20170300796 | PAYMENT CARDS AND DEVICES WITH DISPLAYS, CHIPS, RFIDS, MAGNETIC EMULATORS, MAGNETIC ENCODERS, AND OTHER COMPONENTS - A payment card (e.g., credit and/or debit card) or other card or device (e.g., mobile telephone) is provided with a magnetic emulator operable to communicate data to a magnetic stripe read-head. User interfaces are provided in a number of different configurations in order to achieve a number of different functionalities. | 2017-10-19 |
20170300797 | DATA CARRIER AND DATA CARRIER SYSTEM - A data carrier | 2017-10-19 |
20170300798 | ASSET TRACKING SYSTEM FOR RACK-BASED ENCLOSURES - A system includes a beacon device including a communication strip having a plurality of directed light emitters distributed along the communication strip. The beacon device can transmit a directed light signal via the directed light emitters. The system further includes a tag including a processor, a radio frequency transmitter coupled to the processor, a directed light receiver coupled to the processor, and a lens having first and second major surfaces and a side surface, the tag to receive the directed light signal via the side surface and to transmit a radio frequency tag message via the radio frequency transmitter. The system also includes a radio frequency reader to receive the radio frequency tag message. | 2017-10-19 |
20170300799 | Smartcard - Card including a substrate, at least one biometric data entry device on the substrate to receive biometric data about an individual holding the substrate, a memory component on the substrate and containing biometric data about an individual possessing the card and at least one private key, and a processor configured to compare biometric data received via the biometric data entry device to biometric data contained in the memory component to determine whether they match. When there is a biometric data match, a process requiring use of the private key(s) is initiated for authorized use of the card. A chassis intrusion detector system detects tampering with the card and upon such detection, causes deletion of the private key(s) to thereby prevent unauthorized use of the card. | 2017-10-19 |
20170300800 | CARD WITH METAL LAYER AND AN ANTENNA - In a smart card having an antenna structure and a metal layer, an insulator layer is formed between the antenna structure and the metal layer to compensate for the attenuation due to the metal layer. The thickness of the insulator layer affects the capacitive couplilng between the antenna structure and the metal layer and is selected to have a value which optimizes the transmission/reception of signals between the card and a card reader. | 2017-10-19 |
20170300801 | RFID TAG AND HIGH FREQUENCY CIRCUIT - An RFID tag includes: a base portion in a plate shape made of dielectric material; a loop antenna formed by etching and including a first antenna element and a second antenna element disposed in a loop shape along an outer periphery of the base portion; and an IC chip inserted to the loop antenna in series and including a first electrode and a second electrode. | 2017-10-19 |
20170300802 | RADIO FREQUENCY IDENTIFICATION ENABLED MIRRORS - A radio frequency identification (RFID) enabled mirror includes a mirror comprising a reflective layer. The reflective layer comprises at least one layer of a metallic material. At least one portion of the reflective layer is removed to form a booster antenna from a remaining portion of the reflective layer. A dielectric coating is applied to the mirror where the reflective layer was removed. The RFID-enabled mirror further includes an RFID chip coupled to the booster antenna. | 2017-10-19 |
20170300803 | SYSTEMS AND METHODS TO USE A MOBILE COMMUNICATIONS DEVICE FOR PARKING FACILITY ACCESS - A computer-implemented method leverages the capabilities present in common mobile communications devices—RF transceivers, Internet connectivity, payment system, geolocation system, notification system, and user interface—to simplify and reduce overhead from the parking experience. Furthermore, this method utilizes distributed authentication and authorization and multi-path queued message delivery to provide this experience when cellular or WiFi Internet connectivity is absent in the parking facility, simplifying and reducing the cost of deployment. | 2017-10-19 |
20170300804 | SOFTWARE ARCHITECTURE FOR EXPERT SYSTEM - A method implemented on a computer comprises the steps of receiving an input value to be evaluated; queuing the input value in a queue; selecting, in the queue, a queued input value; determining an output value by evaluating, by inference of the rules base, the queued input value selected. Developments describe the broadcasting of one or more output values, the scheduling in time and/or in space of the evaluations of the queued input values (notably in terms of computation resources), the selective evaluation of input values, the use of a dependency graph, parameters of expiration of parts of rules in time, the use of inference according to fuzzy logic. System aspects, notably component and software aspects, are described. | 2017-10-19 |
20170300805 | DATA ENGINES BASED ON NEURAL NETWORK CONFIGURATIONS - Various systems, mediums, and methods may involve data engines configured to generate results associated with one or more entities based on neural network configurations. An exemplary system includes a data engine with a training module, a working module, an incremental training module, and a neural network. The data engine may process data associated with the one or more entities and transfer the processed data to an input layer of the neural network. Further, outputs from the input layer may be transferred to a hidden layer of the neural network. Yet further, outputs from the hidden layer may be transferred to an output layer of the neural network. As such, one or more results may be generated from an output layer of the neural network. The one or more results may include an assessment score of the one or more entities. | 2017-10-19 |
20170300806 | NEUROMORPHIC DEVICE INCLUDING SYNAPSES HAVING FIXED RESISTANCE VALUES - A neuromorphic device may include: pre-synaptic neurons; row lines extending in a first direction from the pre-synaptic neurons, respectively; post-synaptic neurons; column lines extending in a second direction from the post-synaptic neurons, respectively, the second direction crossing the first direction; and synapses arranged in intersection regions between the row lines and the column lines. The synapses may include resistor interconnections having various fixed resistance values. The synapses may be programmed with at least one pattern based on the various fixed resistance values. | 2017-10-19 |
20170300807 | NEURAL NET COMPUTER SYSTEM WITH WIRELESS OR OPTICAL CONNECTIONS BETWEEN NEURAL NET COMPUTING NODES - In certain embodiments, a neural net computer system may include a plurality of computing nodes. At least some of the computing nodes are associated with a first layer of a neural net. At least some of the computing nodes are associated with a second layer of the neural net. The computing nodes may each include (i) one or more processors, (ii) memory, and (iii) a wireless or optical communication unit. For each of the computing nodes: (i) the processors, the memory, and the wireless or optical communication unit of the computing node are on-die components of the computing node, and (ii) the processors of the computing node (a) transmit signals to other ones of the computing nodes via the wireless or optical communication unit of the computing node and (b) receive signals from other ones of the computing nodes via the wireless or optical communication unit of the computing node. | 2017-10-19 |
20170300808 | QUANTUM PROCESSOR AND ITS USE FOR IMPLEMENTING A NEURAL NETWORK - A quantum processor comprises a first set of qubits comprising a first plurality of substantially parallel qubits; a second set of qubits comprising N successive groups of a plurality of qubits ( | 2017-10-19 |
20170300809 | HIERARCHICAL SCALABLE NEUROMORPHIC SYNAPTRONIC SYSTEM FOR SYNAPTIC AND STRUCTURAL PLASTICITY - In one embodiment, the present invention provides a neural network circuit comprising multiple symmetric core circuits. Each symmetric core circuit comprises a first core module and a second core module. Each core module comprises a plurality of electronic neurons, a plurality of electronic axons, and an interconnection network comprising multiple electronic synapses interconnecting the axons to the neurons. Each synapse interconnects an axon to a neuron. The first core module and the second core module are logically overlayed on one another such that neurons in the first core module are proximal to axons in the second core module, and axons in the first core module are proximal to neurons in the second core module. Each neuron in each core module receives axonal firing events via interconnected axons and generates a neuronal firing event according to a neuronal activation function. | 2017-10-19 |
20170300810 | NEURAL NETWORK SYSTEM - A neuromorphic device includes an input device; an output device; and a neural network including a first synapse network and a second synapse network between the input device and the output device. The first synapse network includes a first synapse system having higher learning efficiency than the second synapse network, and the second synapse network includes a second synapse system having more excellent data retention capability than the first synapse network. | 2017-10-19 |
20170300811 | DYNAMIC LOSS FUNCTION BASED ON STATISTICS IN LOSS LAYER OF DEEP CONVOLUTIONAL NEURAL NETWORK - In an example embodiment, an a loss layer of a deep convolutional neural network is modified to include a dynamically changing function that adjusts based on statistical analysis of the samples, and specifically an analysis of which sample images showed the most deviation between their assigned professionalism score and an expected professionalism score. This allows outliers in training data to be automatically handled. | 2017-10-19 |
20170300812 | EFFICIENT DETERMINATION OF OPTIMIZED LEARNING SETTINGS OF NEURAL NETWORKS - A method comprising calculating output values of a plurality of linear nodes connected to a maxout node in a neural network, calculating a temporary maximum value among the output values during the calculation of the output values, and terminating the calculation of a final output value of a first linear node of the plurality of linear nodes in response to a condition that a difference between the temporary maximum value and a temporary output value of the first linear node exceeds a threshold value during the calculation of the output values. | 2017-10-19 |
20170300813 | INTERFACE NEURAL NETWORK - An operation method of a neural network, a training method, and a signal processing apparatus are provided. The operation method includes receiving an output signal from a first neural network, and converting a first feature included in the output signal to a second feature configured to be input to a second neural network, based on a conversion rule controlling conversion between a feature to be output from the first neural network and a feature to be input to the second neural network. The operation method further includes generating an input signal to be input to the second neural network, based on the second feature, and transmitting the input signal to the second neural network. | 2017-10-19 |
20170300814 | WIDE AND DEEP MACHINE LEARNING MODELS - A system includes one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the computers to implement a combined machine learning model for processing an input including multiple features to generate a predicted output for the machine learning input. The combined model includes: a deep machine learning model configured to process the features to generate a deep model output; a wide machine learning model configured to process the features to generate a wide model output; and a combining layer configured to process the deep model output generated by the deep machine learning model and the wide model output generated by the wide machine learning model to generate the predicted output, in which the deep model and the wide model have been trained jointly on training data to generate the deep model output and the wide model output. | 2017-10-19 |
20170300815 | STATIC AND DYNAMIC PRECISION ADAPTATION FOR HARDWARE LEARNING AND CLASSIFICATION - An information processing system, which includes a control system and an artificial neural network, is disclosed. The artificial neural network includes a group of neurons and a group of synapses, which includes a first portion and a second portion. The control system selects one of a group of operating modes. The group of neurons processes information. The group of synapses provide connectivity to each of the group of neurons. During a first operating mode of the group of operating modes, the first portion of the group of synapses is enabled and the second portion of the group of synapses is enabled. During a second operating mode of the group of operating modes, the first portion of the group of synapses is enabled and the second portion of the group of synapses is disabled. | 2017-10-19 |
20170300816 | CONTENT BASED REMOTE DATA PACKET INTERVENTION - Systems and methods for remote intervention are disclosed herein. The system can include memory including: a user profile database; a content database; and a model database. The system can include a supervisor device including: a network interface; and an I/O subsystem. The system can include a content management server that can: receive a first electrical signal from the supervisor device; generate and send an electrical signal to the supervisor device directing the launch of the content authoring interface; receive a second electrical signal including content received by the content authoring interface from the supervisor device; identify a plurality of response demands in the received content; determine a level of the received content based on the identified plurality of response demands; determine the acceptability of the received content based on the identified plurality of response demands; and generate and send an alert to the supervisor device. | 2017-10-19 |
20170300817 | SYSTEMS AND METHODS FOR EMBEDDING PROBLEMS INTO AN ANALOG PROCESSOR - Generate an automorphism of the problem graph, determine an embedding of the automorphism to the hardware graph and modify the embedding of the problem graph into the hardware graph to correspond to the embedding of the automorphism to the hardware graph. Determine an upper-bound on the required chain strength. Calibrate and record properties of the component of a quantum processor with a digital processor, query the digital processor for a range of properties. Generate a bit mask and change the sign of the bias of individual qubits according to the bit mask before submitting a problem to a quantum processor, apply the same bit mask to the bit result. Generate a second set of parameters of a quantum processor from a first set of parameters via a genetic algorithm. | 2017-10-19 |
20170300818 | POLLUTION ESTIMATION SYSTEM - A pollution estimation system ( | 2017-10-19 |
20170300819 | Time-Series Prediction Apparatus and Time-Series Prediction Method - A time-series prediction apparatus | 2017-10-19 |
20170300820 | METHOD AND APPARATUS FOR PREDICTING FLOOR INFORMATION FOR A DESTINATION CALL - According to one aspect, there is provided a method for predicting floor information for a destination call. The method comprises storing, in a memory, destination call history entries about destination calls made by a user, each destination call history entry comprising a time stamp and a source and destination floor pair for a destination call; detecting an intention of the user to make a new destination call; and predicting a destination floor for the new destination call based on the current time and the stored destination call history entries of the user. | 2017-10-19 |
20170300821 | Processing Electronic Data In Computer Networks With Rules Management - An approach is provided for managing processing rules used to process electronic data in computer networks. An application provides the capability for users to define and manage classifications for electronic data. The application also provides the capability for users to define and manage processing rules for each classification. This may include specifying, for each processing rule, a classification to which the processing rule corresponds, one or more conditions under which the processing rule is to be applied and optionally, not applied, a priority for the processing rule, and one or more actions to be performed. The priority may be used to determine which rule is to be applied when more than one rule corresponds to a classification. The application supports the definition and management of classifications and rules on a logical group-by-logical group basis. | 2017-10-19 |
20170300822 | Adaptive window size segmentation for activity recognition - A computer-implemented method, computerized apparatus and computer program product for activity recognition using adaptive window size segmentation of sensor data stream. A data stream generated by one or more sensors is obtained. A frequency analysis of the data in a first segment of the data stream is performed. A size of a second segment is determined based on the frequency analysis. Activity recognition is performed for the second segment by extracting one or more features of the data therein and applying a machine learning process on the extracted features to obtain a classification of the data into an activity class. | 2017-10-19 |
20170300823 | DETERMINING USER INFLUENCE BY CONTEXTUAL RELATIONSHIP OF ISOLATED AND NON-ISOLATED CONTENT - One or more processor to receives content over distributed network media sources and isolated content, authored by one or more users of the plurality of users, in which the content and isolated content are directed to a plurality of topics. The content and isolated content are parsed into content segments and aggregated based on topics to which the content segments are directed, and users authoring the content segments are identified, the aggregated content segments forming at least part of a discussion thread. One or more processors determine a probability that the discussion thread is complete, based on a set of user behavioral pattern metrics generated by analysis of historical content, and one or more processors, in response to the discussion thread being substantially complete and exceeding a probability threshold, determines the discussion thread, including the content and the isolated content to be ready for a contextual relationship analysis. | 2017-10-19 |
20170300824 | PERFORMANCE ESTIMATION SYSTEM UTILIZING A DATA ANALYTICS PREDICTIVE MODEL - According to some embodiments, a server may access a data store containing electronic records, each electronic record representing a risk association for an entity in connection with a plurality of relationships, and each electronic record may contain a set of record characteristic values. The server may automatically designate a first sub-set of the set of record characteristic values as fixed effect variables and a second sub-set as random effect variables. A data analytics mixed effect predictive model may then generate, based on the fixed and random effect variables, a future performance estimation value for the risk association of each entity in connection with its plurality of relationships. An indication associated with the future performance estimation value for the risk association of at least one entity in connection with its plurality of relationships may then be transmitted to generate an interactive user interface display. | 2017-10-19 |
20170300825 | HIDDEN MARKOV MODEL FOR JAMMER BEHAVIOR PREDICTION - Jammer behavior modeling utilizes two-layer hidden Markov models (HMMs) for identifying an interferer's plurality of modes and accumulating statistics on transitions between the interferer's plurality of modes for use in improved jammer characterization. The two-layer hidden Markov model characterizes jammer behavior by estimating time-varying but repetitive (mode-cycling) jammer behavior, providing estimates of future states for use by a strategy optimizer. Steps include receiving input data from an interferer; determining if models exist for describing the interferer's behavior; determining if a new model is needed; building a first layer HMM for each state of the interferer; building a second layer HMM using an output from the first layer HMM; and outputting the results from the first and second layer HMMs to a strategy optimizer to identify an interferer's plurality of modes and accumulate statistics on transitions between the interferer's plurality of modes for use in jammer mode prediction. | 2017-10-19 |
20170300826 | SYSTEMS, APPARATUS, AND METHODS FOR GENERATING PREDICTION SETS BASED ON A KNOWN SET OF FEATURES - An individual having a plurality of first features and a second characteristic is identified. A plurality of second features associated with a second characteristic is determined. For each first feature among the plurality of first features, a respective probability distribution indicating, for each respective second feature, a probability that a person having the respective second feature has the first feature, is determined, thereby generating a plurality of probability distributions. A probabilistic classifier is used to combine the plurality of probability distributions, thereby generating a merged probability distribution. A Monte Carlo method is used to generate a prediction set based on the merged probability distribution, the prediction set including a plurality of prediction values for the second characteristic of the individual, each respective prediction value being associated with one of the plurality of second features. The prediction set is stored in a memory. The probabilistic classifier may include a Naïve-Bayes method. Prediction sets may be generated for each of a plurality of individuals, and used to predict a feature associated with a group. For example, an advertisement may be selected and displayed based on the predicted feature. | 2017-10-19 |
20170300827 | SYSTEMS AND METHODS FOR ACHIEVING ORTHOGONAL CONTROL OF NON-ORTHOGONAL QUBIT PARAMETERS - Achieving orthogonal control of non-orthogonal qubit parameters of a logical qubit allows for increasing the length of a qubit chain thereby increasing the effective connectivity of the qubit chain. A hybrid qubit is formed by communicatively coupling a dedicated second qubit to a first qubit. By tuning a programmable parameter of the second qubit of a hybrid qubit, an effective programmable parameter of the hybrid qubit is adjusted without affecting another effective programmable parameter of the hybrid qubit thereby achieving orthogonal control of otherwise non-orthogonal qubit parameters. The length of the logical qubit may thus be increased by communicatively coupling a plurality of such hybrid qubits together. | 2017-10-19 |
20170300828 | METHOD AND SYSTEM FOR DISTRIBUTED MACHINE LEARNING - The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors. | 2017-10-19 |
20170300829 | MACHINE-LEARNING SYSTEM AND METHOD THEREOF TO MANAGE SHUFFLING OF INPUT TRAINING DATASETS - Embodiments herein achieve a machine-learning system for managing shuffling of input training datasets. The machine-learning system includes a training dataset manager configured to shuffle an input dataset received from each of a plurality of electronic devices. Further, the training dataset manager is configured to split the input training datasets into a plurality of mini-batches. Each of the mini-batches, along with the target values, defines an error surface corresponding to an error function. A learning manager is configured to obtain a cross mini-batch discriminator based on the error function for each of the mini-batches. Further, the learning manager is configured to select a mini-batch associated with a least cross mini-batch discriminator from the plurality of mini-batches as optimal mini-batch. | 2017-10-19 |
20170300830 | SYSTEM AND METHOD FOR COMMUNICATION EFFICIENT SPARSE-REDUCE - Systems and methods for building a distributed learning framework, including generating a sparse communication network graph with a high overall spectral gap. The generating includes computing model parameters in distributed shared memory of a cluster of a plurality of worker nodes; determining a spectral gap of an adjacency matrix for the cluster using a stochastic reduce convergence analysis, wherein a spectral reduce is performed using a sparse reduce graph with a highest possible spectral gap value for a given network bandwidth capability; and optimizing the communication graph by iteratively performing the computing and determining until a threshold condition is reached. Each of the plurality of worker nodes is controlled using tunable approximation based on available bandwidth in a network in accordance with the generated sparse communication network graph. | 2017-10-19 |