09th week of 2018 patent applcation highlights part 58 |
Patent application number | Title | Published |
20180060668 | METHODS AND SYSTEMS ENABLING ACCESS BY PORTABLE WIRELESS HANDHELD DEVICES TO DATA ASSOCIATED WITH PROGRAMMING RENDERING ON FLAT PANEL DISPLAYS - Flat panel displays can broadcast their identity for discovery by handheld devices interested in obtaining data associated wit, video programming displayed on the displays. An application can be downloaded and activated on smartphones that will enable them to capture an image of the video programming and recognize is with the help of a remote server, or wirelessly obtain a list of available (discovered) flat panel displays (multiple screens, depending on venue) that allow wireless access to data associated with video programming displayed (or previously displayed and stored in a queue) on flat panels. Video programming rendering on a flat panel of interest can be identified via the smartphone and the smartphone can access additional data either directly from the flat panel or from a remote server once the data has been identified and/or engage in an interactive session in association with the displayed programming or data. | 2018-03-01 |
20180060669 | Method, system and apparatus for processing an image - A method and system associated with a camera view of a moving-object in a scene. The method comprises detecting and tracking the moving object over multiple video frames, estimating an orientation of the moving object in each of the video frames, and constructing a cost map from the estimated orientations over the multiple video frames for finding a minimum cost path over the cost map. The Method also comprises determining regularised orientation estimates of the moving-object from the minimum cost path, and locating the vanishing point of the camera view based on an axis of the moving-object from the minimum cost path, the axis formed by using the regularised orientation estimates. | 2018-03-01 |
20180060670 | SCENE CHANGE DETECTION VIA MULTIPLE SENSORS - An example method includes determining first classification rule(s) based on first data that classifies pixel groups of first reference image(s) as types of objects. The first reference image(s) are captured by a first sensor. The method further includes determining second classification rule(s) based on second data that classifies pixel groups of second reference image(s) as types of objects. The second reference image(s) are captured by a second sensor. The method includes classifying, as respective first objects, pixel group(s) of a first image of a scene based on the first classification rule(s). The method includes classifying, as respective second objects, pixel group(s) of a second image of the scene based on the second classification rule(s). The method further includes determining whether a change occurred in the scene based on the object classification of the first image(s) and the second image(s). | 2018-03-01 |
20180060671 | IMAGE PROCESSING DEVICE, IMAGING DEVICE, EQUIPMENT CONTROL SYSTEM, EQUIPMENT, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM STORING PROGRAM - An image processing device, an imaging device, an equipment control system, equipment, an image processing method, and a recording medium storing a program. The image processing device and the image processing method includes capturing an object to obtain a captured image using at least one capturing unit, generating a correction parameter based on the captured image to update a correction parameter stored in a memory, correcting displacement in coordinate caused to the captured image, using the updated correction parameter, and updating a referring status of a specific thing included in the captured image to a not-yet-referred status when the correction parameter is updated. The imaging device includes the image processing device, the at least one capturing unit captures an image including the specific thing, and the memory stores the correction parameter. | 2018-03-01 |
20180060672 | SYSTEM, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A system that detects the number of persons waiting in a queue includes an image acquisition unit that acquires a captured image, an analysis unit that detects a person from the captured image, and a decision unit that, when a region in which no person is detected in the captured image has an area greater than or equal to a predetermined area, sets the number of persons detected from the captured image as the number of persons waiting in the queue. | 2018-03-01 |
20180060673 | OBJECT DETECTION IN CROWDED SCENES USING CONTEXT-DRIVEN LABEL PROPAGATION - A computer implemented method for detecting an object in a crowded scene utilizing an image capturing device. The method includes receiving an image of a predetermined area. From the image, the existence of selected portions as representing an entity of a selected class is determined. Each selected portion is assigned an initial confidence value that the selected portion is an entity representative of a selected class. Each selected portion is evaluated with each other to determine a context confidence value. The context confidence value and initial confidence value are utilized to determine which of the one or more selected portions are entities of a selected class. | 2018-03-01 |
20180060674 | FUSION-BASED WET ROAD SURFACE DETECTION - A method for determining wetness on a path of travel. A surface of the path of travel is captured by at least one image capture device. A plurality of wet surface detection techniques is applied to the at least one image. An analysis for each wet surface detection technique is determined in real-time of whether the surface of the path of travel is wet. Each analysis independently determines whether the path of travel is wet. Each analysis by each wet surface detection technique is input to a fusion and decision making module. Each analysis determined by each wet surface detection technique is weighted within the fusion and decision making module by comprehensive analysis of weather information, geology information, and vehicle motions. A wet surface detection signal is provided to a control device. The control device applies the wet surface detection signal to mitigate the wet surface condition. | 2018-03-01 |
20180060675 | METHOD AND APPARATUS FOR CONTROLLING VISION SENSOR FOR AUTONOMOUS VEHICLE - A method and apparatus for controlling a vision sensor are provided. The apparatus and corresponding method are configured to predict an expected point, on a traveling path of a host vehicle, at which an illumination variation greater than or equal to a threshold is expected to occur, and determine whether the host vehicle is located within a threshold distance. The apparatus and corresponding method are also configured to control a vision sensor in the host vehicle based on the expected illumination variation in response to the host vehicle being located within the threshold distance. | 2018-03-01 |
20180060676 | METHOD AND DEVICE FOR DETECTING AND EVALUATING ENVIRONMENTAL INFLUENCES AND ROAD CONDITION INFORMATION IN THE VEHICLE SURROUNDINGS - A method for detecting and evaluating environmental influences and road condition information in the surroundings of a vehicle. At least two digital images are generated in a successive manner using a camera, and the same image section is selected on each image. Changes in the image sharpness between the image sections of the at least two successive images are detected using digital image processing algorithms, wherein the image sharpness changes are weighted in a decreasing manner from the center of the image sections towards the outside. Surroundings condition information is ascertained on the basis of the detected image sharpness changes between the image sections of the at least two successive images using machine learning methods, and road condition information is determined on the basis of the ascertained surroundings condition information. | 2018-03-01 |
20180060677 | METHOD, APPARATUS AND DEVICE FOR DETECTING LANE LINES - A method for detecting a lane line is provided. The method includes: determining candidate lane line regions in a lane image by filtering the lane image; extracting center points for each candidate lane line region; obtaining a fitting curve of each candidate lane line region by performing curve fitting on the center points of each candidate lane line region; classifying the candidate lane line regions as rectilinear and curvilinear candidate lane line regions according to a slope angle of the fitting curve of each candidate lane line region; dividing the candidate lane line regions into groups based on the classifying result; and determining two groups, which meet a first predetermined condition, as target groups, and recognizing candidate lane line regions in the target groups as lane line regions. Besides, an apparatus and a device for detecting a lane line are further provided. | 2018-03-01 |
20180060678 | VEHICLE-MOUNTED IMAGE RECOGNITION APPARATUS AND METHOD OF MANUFACTURING THE SAME - In a vehicle-mounted image recognition apparatus, a resolution of an image projected on an imaging plane of an image sensor is different at a position away from a center between a circumferential direction and a radial direction. To make a circumferential resolution higher than a radial resolution, at least a lower half of the imaging plane is located closer to a circumferential focus than a middle of a radial focus and the circumferential focus at a position off the optical axis center of the image projected on the image sensor through the image-forming optical system. This is achieved by adjusting the position of the imaging plane when manufacturing or by selecting a lens with high circumferential resolution. This apparatus improves recognition accuracy in recognizing traffic lanes without using an expensive lens exhibiting high resolution both in the circumferential direction and in the radial direction. | 2018-03-01 |
20180060679 | VANISHING POINT CORRECTION APPARATUS AND METHOD - A vanishing point correction method may include the steps of: (a) extracting a contour candidate point of an object considered as the forward vehicle from the image taken by the camera; (b) tracking a movement of the contour candidate point over time; (c) determining whether the contour candidate point belongs to the vehicle; (d) setting the contour candidate point to a vehicle contour point of the forward vehicle, when it is determined at the step (c) that the contour candidate point belongs to the vehicle; (e) calculating a variation in width between vehicle contour points at the same height among the vehicle contour points; and (f) calculating a variation of the vanishing point. | 2018-03-01 |
20180060680 | DEVICE TO PROVIDE A SPOOFING OR NO SPOOFING INDICATION - Aspects may relate to a device to provide a spoofing or no spoofing indication. The device may comprise a processor and a sensor. The sensor may receive multiple facial frames of a face of a user. The processor coupled to the sensor may be configured to: perform a function based upon components of the face of the user relative to one another to determine measured facial features for two adjacent frames of the multiple facial frames; and determine whether the measured facial features for the two adjacent frames are sufficiently different to indicate liveness of the user and no spoofing attempt. | 2018-03-01 |
20180060681 | Online Pseudonym Verification and Identity Validation - Methods, systems, and computer program products for authenticating an online user. Authentication involves sending a code from a server to a user device equipped with a source of illumination and a camera capable of capturing video imagery of the online user. The user device receives the code, modulates the source of illumination in accordance with the code, and captures video imagery of the user while the source of illumination is being modulated according to the code. The captured video imagery of the online user is sent to the server where it is analyzed to detect evidence of changes in illumination that correspond to the code. If good correspondence is found, the user may be authenticated. Similar methods may be applied to other biometric data. Applications of the authentication include identify validation, pseudonym verification, and distinguishing human from non human access attempts. | 2018-03-01 |
20180060682 | PARALLAX MINIMIZATION STITCHING METHOD AND APPARATUS USING CONTROL POINTS IN OVERLAPPING REGION - Provided is a parallax minimization stitching method and apparatus using control points in an overlapping region. A parallax minimization stitching method may include defining a plurality of control points in an overlapping region of a first image and a second image received from a plurality of cameras, performing a first geometric correction by applying a homography to the control points, defining a plurality of patches based on the control points, and performing a second geometric correction by mapping the patches. | 2018-03-01 |
20180060683 | Augmented Reality Virtual Reality Touchless Palm Print Identification - A computing platform is described to match a palm digital representation to a palm template. The platform includes logic causing presenting a viewfinder image including an image stream and/or a cue appearing to reside substantially in front of a user to guide the user to align a palm at a position within a field of view of a camera; capturing a set of images using the camera; processing the set of images to determine a set of identifying features of the palm; and comparing the set of identified features with enrolled palm prints to identify the palm. | 2018-03-01 |
20180060684 | PROGRESSIVE VEHICLE SEARCHING METHOD AND DEVICE - The present application discloses a vehicle searching method and device, which can perform the steps of: calculating an appearance similarity distance between a first image of a target vehicle and several second images containing the searched vehicle; selecting several images from the several second images as several third images; obtaining corresponding license plate features of license plate areas in the first image and each of the third images with a preset Siamese neural network model; calculating a license plate feature similarity distance between the first image and each of the third images according to license plate feature; calculating a visual similarity distance between the first image and each of the third images according to the appearance similarity distance and the license plate feature similarity distance; obtaining a the first search result of the target vehicle by arranging the several third images in an ascending order of the visual similarity distances. The solution provided by the present application is not limited by application scenes, and it also improves vehicle searching speed and accuracy while reducing requirements of hardware such as cameras that collect images of a vehicle and auxiliary devices. | 2018-03-01 |
20180060685 | VIEW FRIENDLY MONITOR SYSTEMS - A view friendly monitor system provides a monitor and a sequence of views that are regions of interest. The monitor can display a region of the camera view; the system is configured such that the displayed region of the camera view is a region of interest to the user. The displayed portion of the camera view changes to match the changing interests of the user. For example, a user that is interested to see a view in a direction beyond a certain edge of the monitor would move her head generally in an opposite direction. To see farther outside the edge, she needs to move her head farther in the opposite direction. In response to her head movement, the view friendly monitor system would change the region of interest based on the direction and the length of her head movement and display the new region of interest on the monitor. | 2018-03-01 |
20180060686 | METHOD AND APPARATUS FOR OCR DETECTION OF VALUABLE DOCUMENTS BY MEANS OF A MATRIX CAMERA - The invention relates to a method for OCR detection of valuable documents in a cash dispenser in the case of which an image of the valuable document is detected by means of a digital video or matrix camera. A Hough transformation is used to calculate edge lines of the valuable document and a rotation angle is calculated therefrom such that the edges of the valuable document are aligned with the image edges. The detected image is homogenized to compensate an inhomogeneous image background. This is followed by OCR detection of alphanumeric information on the valuable document. | 2018-03-01 |
20180060687 | IMAGE RECOGNITION METHOD AND SYSTEM BASED ON DEEP LEARNING - The present disclosure discloses an image recognition method and system based on deep learning. The image recognition method trains a recognizing engine for high resolution images and a recognizing engine for low resolution image separately. The two recognizing engines generate two independent feature groups specifically for high resolution and low resolution images respectively. A categorizing engine categorizes a testing image to a high resolution mode or a low resolution mode, and then the testing image is recognized by the appropriate recognizing engine. Therefore, the present disclosure increases the accuracy of image recognition under various conditions. | 2018-03-01 |
20180060688 | LOCATING FEATURES IN WARPED IMAGES - Techniques for locating features of interest in warped images are described. For example, a destination image is generated from a source image based on warping a portion of the source image according to a backward map. Each of the two images is associated with a mesh having a tile-based geometry. The backward map maps points from the destination mesh to pixels in the source image. Triangles are formed from the tiles of the destination mesh. A forward map is generated based on the triangles and the backward map. The forward map maps points from the source mesh to pixels in the destination image. A point from the source mesh is identified that corresponds to a pixel of a feature of interest. The forward map is applied to this point to locate a pixel in the destination image. This pixel corresponds to the location of the feature in the destination image. | 2018-03-01 |
20180060689 | COLLABORATION SYSTEM WITH RASTER-TO-VECTOR IMAGE CONVERSION - A method for producing digital ink in a collaboration session between a first computing device and a second computing device that presents a digital canvas. In some embodiments, the method includes capturing a raster image of content using a camera operably coupled to the first computing device, deriving first image vectors and second image vectors based on first and second portions, respectively, of the raster image, sending the first image vectors to the second computing device for displaying a first digital ink object based on the first image vectors, and sending the second image vectors to the second computing device for displaying a second digital ink object based on the second image vectors after the displaying of the second digital ink object. | 2018-03-01 |
20180060690 | METHOD AND DEVICE FOR CAPTURING IMAGES USING IMAGE TEMPLATES - Method and device for capturing images of a target object using image templates at a device are disclosed. The method includes rendering an image template on the display for determining a position of the target object in an image to be captured using the device; capturing a first image of the target object using the image sensor and displaying the captured first image on the display while keeping the image template on the display; extracting one or more features associated with the position of the target object from the captured first image; determining whether the one or more features extracted from the captured first image match the image template; and generating an alert signal in accordance with a determination that at least one of the one or more features extracted from the captured first image matches the image template. | 2018-03-01 |
20180060691 | ACTIVE VISUAL ATTENTION MODELS FOR COMPUTER VISION TASKS - An imaging method includes obtaining an image with a first field of view and first effective resolution and the analyzing the image with a visual attention algorithm to one identify one or more areas of interest in the first field of view. A subsequent image is then obtained for each area of interest with a second field of view and a second effective resolution, the second field of view being smaller than the first field of view and the second effective resolution being greater than the first effective resolution. | 2018-03-01 |
20180060692 | Method for Evaluating the Authenticity of a Painting as well as a Corresponding Use - A method is provided for evaluating the authenticity of a painting which includes providing ( | 2018-03-01 |
20180060693 | OBJECT RECOGNITION APPARATUS - An object recognition apparatus includes an image capturing unit, a storage unit that stores feature data of a plurality of reference objects, a display unit, and a processor. The processor calculates degrees of similarity between an object in the captured image and a plurality of reference objects, based on the feature data of the reference objects, selects some of the reference objects as candidates objects based on the calculated degrees of similarity, and controls the display unit to display the candidate objects and a message to select one of the candidate objects. If no candidate object is selected within a predetermined time after the candidate objects and the message have been displayed, and thereafter a new image is captured by the image capturing unit, the processor removes the message and calculates degrees of similarity between an object in the newly captured image and the plurality of reference objects. | 2018-03-01 |
20180060694 | SYSTEM, METHOD, AND RECORDING MEDIUM FOR EFFICIENT COHESIVE SUBGRAPH IDENTIFIATION IN ENTITY COLLECTIONS FOR INLIER AND OUTLIER DETECTION - A similarity detection system receiving a plurality of input entities, the system including a cohesive subgraph identification device configured to calculate, based on attributes of the plurality of input entities, a first parameter and a second parameter based on the first parameter, and further configured to identify a plurality of subgraphs from the second parameter and a subgraph correlation tracking and clustering device configured to determine a relationship between different subgraphs based on a similarity factor between the second parameter and the plurality of subgraphs. | 2018-03-01 |
20180060695 | SYSTEM, METHOD, AND RECORDING MEDIUM FOR DETECTING VIDEO FACE CLUSTERING WITH INHERENT AND WEAK SUPERVISION - A face clustering system for video face clustering in a video sequence, the system including an inherent supervision summarization device configured to collect group-level supervision and instance level supervision within a same chunklet based on a user input of face images for a person, a discriminative projection learning device configured to embed group constraints of the group-level supervision into a transformed space, and configured to generate an embedding space from the original image feature space, and a clustering device, in the embedding space, configured to execute pair-wise based clustering to cluster the video images into different clusters with the instance level supervision collected by the inherent supervision summarization device. | 2018-03-01 |
20180060696 | PROBABILISTIC RECOMMENDATION OF AN ITEM - A clustering and recommendation machine determines that an item is included in a cluster of items. The machine accesses item data descriptive of the item. The machine accesses a vector that represents the cluster and calculates the likelihood that the item is included in the cluster, based on the item variable and the probability parameter. The machine determines that the item is included in the cluster, based on the likelihood. The machine also recommends an item to a potential buyer. The machine accesses behavior data that represents a first event type pertinent to a first cluster of items. The machine calculates a probability that a second event type pertaining to a second cluster of items will co-occur with the first event type. The machine identifies an item from the second cluster to be recommended and presents a recommendation of the item to the potential buyer. | 2018-03-01 |
20180060697 | OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND RECORDING MEDIUM - Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data. | 2018-03-01 |
20180060698 | FRAME AGGREGATION NETWORK FOR SCALABLE VIDEO FACE RECOGNITION - In a video frame processing system, a feature extractor generates, based on a plurality of data sets corresponding to a plurality of frames of a video, a plurality of feature sets, respective ones of the feature sets including features extracted from respective ones of the data sets. A first stage of the feature aggregator generates a kernel for a second stage of the feature aggregator. The kernel is adapted to content of the feature sets so as to emphasize desirable ones of the feature sets and deemphasize undesirable ones of the feature sets. In the second stage of the feature aggregator the kernel generated by the first stage is applied to the plurality of feature sets to generate a plurality of significances corresponding to the plurality of feature sets. The feature sets are weighted based on corresponding significances and weighted feature sets are aggregated to generate an aggregated feature set. | 2018-03-01 |
20180060699 | SYSTEM AND METHOD FOR IMAGE CLASSIFICATION - A system and method of image classification may include linking between a plurality of predetermined objects and categories, assigning a set of attributes for each object until relationships between all categories are determined, storing at least one classified image for each object in an object database, receiving an unclassified image, comparing the received unclassified image to the at least one classified image, determining at least one attribute of the received unclassified image, based on the comparison and based on the assigned attributes for each object, assigning a classification of the received unclassified image, with correlation between the at least one determined attribute of the received unclassified image, and relationships between the categories. | 2018-03-01 |
20180060700 | Foreign Substance Detection in a Depth Sensing System - Disclosed are an apparatus and a method for detection of foreign substances in a depth sensing system. In one embodiment, a depth sensing device includes a light source to emit light, an image sensor and a processor. The image sensor receives through an optical component the light reflected by environment of the depth sensing device. The image sensor further generates a depth map including a plurality of pixel values corresponding to distances between the depth sensing device and the environment. The processor detects a blurred portion of the depth map due to a presence of a foreign substance on the optical component. The processor may further cause outputting a user alert of the presence of the foreign substance on the optical component. | 2018-03-01 |
20180060701 | DEEP-LEARNING NETWORK ARCHITECTURE FOR OBJECT DETECTION - Systems and methods are disclosed herein for automatically identifying a query object within a visual medium. The technique generally involves receiving as input to a neural network a query object and a visual medium including the query object. The technique also involves generating, by the neural network, representations of the query object and the visual medium defining features of the query object and the visual medium. The technique also involves generating, by the neural network, a heat map using the representations. The heat map identifies a location of pixels corresponding to the query object within the visual medium and is usable to generate an updated visual medium highlighting the query object. | 2018-03-01 |
20180060702 | Learning Based Defect Classification - Methods, apparatuses and systems for classifying defects for a defect inspection system are disclosed. The defect inspection system can be used to inspect and manage wafer or reticle defects. The method includes receiving a defect record based on an inspection of a target specimen, the defect record comprising a defect image associated with an unknown defect, selecting, by a computing device using a first processing unit, components ranked by significance from the defect image using a first learning technique, and determining, by the computing device using the first processing unit, whether the defect image is associated with a known defect type based on the components ranked by significance using a second learning technique. | 2018-03-01 |
20180060703 | Detection of Anomalies in Multivariate Data - Disclosed herein are systems, devices, and methods for detecting anomalies in multivariate data received from an asset-related data source, such as signal data and/or other data from an asset. According to an example, a platform may receive multivariate data from an asset in an original coordinate space and transform the data in the original coordinate space to a transformed coordinate space having a relatively fewer number of dimensions. Additionally, the platform may standardize the data in the transformed coordinate space and modify the standardized data based on a comparison between the standardized data and a set of threshold values previously defined via training data reflective of normal asset operation. Thereafter, the platform may inversely transform the modified data back to the original coordinate space and perform an analysis to detect anomalies. | 2018-03-01 |
20180060704 | Method And Apparatus For Image Character Recognition Model Generation, And Vertically-Oriented Character Image Recognition - Embodiments of the present disclosure disclose an image character recognition model generation method and apparatus, and a vertically-oriented character image recognition method and apparatus. The image character recognition model generation method includes: generating a rotated line character training sample, wherein the rotated line character training sample includes a rotated line character image and an expected character recognition result corresponding to the rotated line character image, and there is a difference of | 2018-03-01 |
20180060705 | IMAGE TEXT ANALYSIS FOR IDENTIFYING HIDDEN TEXT - Provided are techniques for image text analysis for identifying hidden text. An Optical Character Reader (OCR) is utilized to extract a text string from an image. Context within the image is analyzed. It is determined that the extracted text string is a partial text string based on the context. For a first radius level of a plurality of radius levels, a segmented sub-image is identified around the partial text string within the first radius level, an image search on the segmented sub-image is performed to identify a candidate text string, and, in response to determining that the candidate text string is a complete text string, the complete text string is provided for performing an action. | 2018-03-01 |
20180060706 | DYNAMIC DETERMINATION OF HUMAN GESTURES BASED ON CONTEXT - A system comprises a processor configured to execute instructions to receive an indication of an occurrence of a human gesture and to perform an analysis of the indication of the occurrence of the human gesture to determine contextual criteria having a relationship to the occurrence of the human gesture. The processor may determine a meaning of the human gesture based at least in part on the contextual criteria and a plurality of possible intended meanings for the human gesture. The processor also may execute an instruction respective to determining the meaning of the human gesture, wherein at least a portion of the instruction is dependent upon the meaning of the human gesture. | 2018-03-01 |
20180060707 | Sheet Conveyance Apparatus That Ensures Reduced Noise, and Image Forming Apparatus Including the Same - A sheet conveyance apparatus includes an inner main unit, a guiding portion, a conveyance roller pair, a mounting portion, and an urging member. A pair of bearing portions supports a shaft portion of a driven roller. A supporting portion is located on an upstream side or a downstream side in a conveyance direction in the pair of bearing portions and supports a pair of extending portions from below. A pressing portion abuts on the pair of extending portions, from above, between the pair of bearing portions and the supporting portion to elastically deform the pair of extending portions. A regulating portion is located between the pair of bearing portions and the supporting portion in the conveyance direction and regulates an interval between the pair of extending portions such that the interval becomes wider than a length of a roller portion in a width direction. | 2018-03-01 |
20180060708 | METHOD OF IMAGE PROCESSING THAT ENSURES EFFECTIVE RESOURCE DATA SEARCH - A method of image processing includes: reading a data file in a predetermined page description language including a search key; chaining a plurality of pieces of resource data in each of a plurality of resource dictionaries; loading the chained plurality of pieces of resource data in each of the plurality of resource dictionaries in a memory area including unique keys; searching the requested resource data from the chained pieces of resource data using the search key for matching the unique key of the requested resource data one by one along the chain in both direction from a starting piece of resource data; labeling each of the plurality of pieces of resource data based on a history of the matching. The searching includes determining the starting piece of resource data in the chained plurality of pieces of resource data based on the history. | 2018-03-01 |
20180060709 | METHOD OF GENERATING TRANSFORMED PRINT JOBS - A method of generating transformed print jobs includes inputting a page description language print job and receiving a selection of one or more transformation features and one or more transformation feature settings for each selected transformation feature. For each transformation feature selected, all dependent transformation features are identified. For each dependent transformation feature identified, all dependent feature settings are identified. All combinations of transformation features, transformation feature settings, dependent transformation features, and dependent feature settings are determined. For each combination, the inputted print job is transformed according to the transformation features, transformation feature settings, dependent transformation features, and dependent feature settings of the combination and a transformed print job is outputted. | 2018-03-01 |
20180060710 | IMAGE PROCESSING UNIT, IMAGE FORMING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing unit includes a region separation device and a spatial filtering device. The region separation device detects line widths of a manuscript image in which the line widths are different between a vertical line and a horizontal line and determines which of the vertical line or the horizontal line is thinner. The spatial filtering device executes an emphasizing process to make a widening ratio of a thinner line of the vertical line or the horizontal line higher than a widening ratio of the other line. | 2018-03-01 |
20180060711 | IMAGE FORMING APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM STORING PROGRAM - Controlling execution of image processing that adjusts an amount of a printing material applied to the printing medium based on an amount of change of pixel values of image data. | 2018-03-01 |
20180060712 | CIRCUITS AND SYSTEMS FOR LOW POWER MAGNETIC SECURE TRANSMISSION - According to another embodiment, a system includes a driver circuit that drives a first output and a second output; a coil coupled between the first output and the second output such that the driver circuit drives current through the coil in response to control signals; and a programmable slew circuit coupled to the driver circuit. In some embodiments, a switch is coupled between the first output and the coil. In some embodiments an over-voltage protection circuit is coupled to protect the driver circuit. | 2018-03-01 |
20180060713 | RFID TRANSPONDER AND METHOD FOR SUPPLYING ENERGY THERETO - A RFID transponder includes an active load modulation unit and an energy harvesting unit coupled to the active load modulation unit. The active load modulation unit performs active load modulation on transmitted signals. The energy harvesting unit harvests RF energy from the ambient environment, converts the RF energy to DC energy, stores the DC energy, and supplies the DC energy to the active load modulation unit. | 2018-03-01 |
20180060714 | TRANSPONDER - A transponder with a disrupting signal source to shut down the transponder. The transponder may use an RFID chip. The disrupting signal source can be an electrical signal source electrically coupled to the RFID chip, for example capacitively coupled. The disruptive signal source can also be a radiation source, for example an infrared source. The disrupting signal source can be connected to a receiver to allow the transponder to be shut down remotely. Multiple transponders as described can be combined to form a multi-transponder device in which transponders can be shut down selectively. | 2018-03-01 |
20180060715 | INDUSTRIAL ELECTRONIC BADGE - An electronic badge comprises a housing having a form factor of a mobile device, a processor, and memory coupled to the processor and including an observation and feedback application. Further, the electronic badge comprises a first transceiver that communicates on a first personal-area network, a second transceiver that communicates on a second personal-area network, and a third transceiver that communicates on a local area network. An information feedback device is controlled by the processor to activate to provide information to the user that feedback has been either given or received, wherein the information feedback device is operated by the processor in response to the processor executing the observation and feedback application, and in response to the processor interacting with at least one of the first transceiver, the second transceiver, and the third transceiver. | 2018-03-01 |
20180060716 | SINGLE-CHIP FINANCIAL AUDIO IC CARD - The application discloses a single-chip financial audio IC card, including a security chip, a contact module, a non-contact module and an audio module switch. The security chip is used for controlling, analyzing and processing data, which is shared by a controlling, analyzing and processing data module; the contact module has function of contact communication, including a 7816 interface; the non-contact module has function of non-contact communication, including a RF coil; the audio module has function of acoustic communication, including a switch, a battery and a buzzer; the contact module, non-contact module and audio module are connected in parallel to the security chip. The application of single-chip financial audio IC card has the advantages of low cost, small processing difficulty, good compatibility, high security, good stability and reliability. | 2018-03-01 |
20180060717 | WIRELESS COMMUNICATION DEVICE, METHOD FOR MANUFACTURING SAME, SEAL FITTED WITH RFIC ELEMENT, AND METHOD FOR PRODUCING SAME - In a wireless communication device, radiation conductors including a first and second end portions are reformed on an upper surface of a radiation conductor base material. First and second terminal electrodes are provided at a same or substantially the same interval as the first and second end portions, on a lower surface of a RFIC element. A seal includes an adhesive surface larger than a principal surface of the RFIC element. The RFIC element is arranged on the upper surface of the radiation conductor substrate so that each of the first and second terminal electrodes comes into contact with the first and second end portions. The seal is pasted to the radiation conductor substrate so as to cover the RFIC element. | 2018-03-01 |
20180060718 | RF TAG - An RF tag that includes an inlay (made of an IC chip and an antenna) and a housing that houses the inlay therein. Furthermore, the housing comprises a top cover that covers at least an upper surface side of the inlay, the top cover is made of a predetermined metal material, the top cover includes a cutaway that opens in the upper surface side of the inlay, and the top cover is electrically connected to the inlay to function as an auxiliary antenna of the inlay. | 2018-03-01 |
20180060719 | SCALE-SPACE LABEL FUSION USING TWO-STAGE DEEP NEURAL NET - Embodiments may provide methods by which fusion of information may be applied to uncertainty reduction in the results of classifier-based data analysis. For example, a method for data analysis may comprise generating a plurality of sets of data samples, each set of data samples representing a portion of input data at plurality of scales, each data sample in a set may represent the portion of the input data at a different scale and location, generating a feature map from each data sample of at least one set of data samples by learning and aggregating features using a first multi-layer convolutional processing, each data sample may be processed with multi-layer convolutional processing separately from other data samples, and generating a feature map by combining the feature maps from the data samples of each set of data samples by performing multiple-scale-multiple-location label fusion using a second multi-layer convolutional processing. | 2018-03-01 |
20180060720 | SYSTEM AND METHOD FOR INFORMATION HIGHWAYS IN A HYBRID FEEDFORWARD-RECURRENT DEEP NETWORK - An apparatus and a method. The apparatus includes a first recurrent network in a first layer; a second recurrent network in a second layer connected to the first recurrent network; a distant input gate connected to the second recurrent network; a first highway gate connected to the distant input gate and the second recurrent network; a first elementwise product projection gate connected to the distant input gate, the highway gate, and the second recurrent network; a second highway gate connected to the first recurrent network and the second recurrent network; and a second elementwise product projection gate connected to the first recurrent network, the second highway gate, and the second recurrent network. | 2018-03-01 |
20180060721 | SYSTEM AND METHOD FOR RESIDUAL LONG SHORT TERM MEMORIES (LSTM) NETWORK - An apparatus and a method. The apparatus includes a plurality of long short term memory (LSTM) networks, wherein each of the plurality of LSTM networks is at a different network layer, wherein each of the plurality of LSTM networks is configured to determine a residual function, wherein each of the plurality of LSTM networks includes an output gate to control what is provided to a subsequent LSTM network, and wherein each of the plurality of LSTM networks includes at least one highway connection to compensate for the residual function of a previous LSTM network. | 2018-03-01 |
20180060722 | MACHINE LEARNING METHOD AND APPARATUS BASED ON WEAKLY SUPERVISED LEARNING - Provided are a machine learning method based on weakly supervised learning includes extracting feature maps about a dataset given a first type of information and not given a second type of information by using a convolutional neural network (CNN), updating the CNN by back-propagating a first error value calculated as a result of performing a task corresponding to the first type of information by using a first model, and updating the CNN by back-propagating a second error value calculated as a result of performing the task corresponding to the first type of information by using a second model different from the first model, wherein the second type of information is extracted when the task corresponding to the first type of information is performed using the second model. | 2018-03-01 |
20180060723 | CASCADED NEURAL NETWORKS - A method includes: training a first neural network using a first training dataset; inputting each test data of a first test dataset to the first neural network; calculating output data of the first neural network for each test data of the first test dataset; composing a second training dataset of training data from the first test dataset that causes the first neural network to output data within a first range; and training a second neural network using the second training dataset. | 2018-03-01 |
20180060724 | Network Morphism - This disclosure describes techniques and architectures to morph well-trained networks to other related applications or modified networks with relatively little retraining. For example, a well-trained neural network (e.g., parent network) may be morphed to a new neural network (e.g., child network) so that the new neural network function may be preserved. After morphing a parent network, the child network may inherit the knowledge from its parent network and also may have a potential to continue growing into a more powerful network. Such morphing and growing may occur with a relatively short training time. | 2018-03-01 |
20180060725 | Physics Modeling for Radar and Ultrasonic Sensors - A machine learning module may generate a probability distribution from training data including labeled modeling data correlated with reflection data. Modeling data may include data from a LIDAR system, camera, and/or a GPS for a target environment/object. Reflection data may be collected from the same environment/object by a radar and/or an ultrasonic system. The probability distribution may assign reflection coefficients for radar and/or ultrasonic systems conditioned on values for modeling data. A mapping module may create a reflection model to overlay a virtual environment assembled from a second set of modeling data by applying the second set to the probability distribution to assign reflection values to surfaces within the virtual environment. Additionally, a test bench may evaluate an algorithm, for processing reflection data to generate control signals to an autonomous vehicle, with simulated reflection data from a virtual sensor engaging reflection values assigned within the virtual environment. | 2018-03-01 |
20180060726 | VOLTAGE CONTROL OF LEARNING RATE FOR RPU DEVICES FOR DEEP NEURAL NETWORK TRAINING - A device, system, product and method of controlling resistive processing units (RPUs), includes applying an input voltage signal to each node of an array of resistive processing units, and controlling a learning rate of the array of resistive processing units by varying an amplitude of the input voltage signal to the array of resistive processing units. A conductance state of the array of resistive processing units is varied according to the amplitude received at each of the resistive processing units of the array of resistive processing units. The controlling of the amplitude of input voltage signal is according to a processor of a control device. | 2018-03-01 |
20180060727 | RECURRENT ENCODER AND DECODER - An encoder and decoder for translating sequential data into a fixed dimensional vector are created by applying an encoding-trainer input vector set as input to an encoding neural network to generate an encoding-trainer output vector set. One vector of the encoding-trainer output vector set is selected and a decoding-trainer input vector set is generated from it. A decoding neural network is trained by applying the generated decoding-trainer input vector set to the decoding neural network. The encoder and decoder can be used in implementations processing sequential data. | 2018-03-01 |
20180060728 | Deep Embedding Forest: Forest-based Serving with Deep Embedding Features - A deep embedding forest-based (DEF) model for improving on-line serving time for classification learning methods and other tasks such as, for example, predicting user selection of search results provided in response to a query or for image, speech or text recognition. Initially, a deep neural network (DNN) model is trained to determine parameters of an embedding layer, a stacking layer, deep layers and a scoring layer thereby reducing high dimensional features. After training the DNN model, the parameters of the deep layers and the scoring layer of the DNN model and discarded and the parameters of the embedding layer and the stacking layer are extracted. The extracted parameters from the DNN model then initialize parameters of an embedding layer and a stacking layer of the DEF model such that only a forest layer of the DEF model is then required to be trained. Output from the DEF model is stored in computer memory. | 2018-03-01 |
20180060729 | APPARATUS AND METHOD FOR LEARNING A MODEL CORRESPONDING TO TIME-SERIES INPUT DATA - A learning apparatus and method for learning a model corresponding to time-series input data, comprising: acquire the time-series input data; supply a plurality of input nodes of the model with a plurality of input values corresponding to input data at one time point in the time-series input data; store values of hidden nodes; compute a conditional probability of each input value at the one time point on a condition that an input data sequence has occurred, based on the input data sequence before the one time point in the time-series input data, on the stored values of hidden nodes, and on weight parameters; and perform a learning process that further increases a conditional probability of input data occurring at the one time point on the condition that the input data sequence has occurred, by adjusting the weight parameters. | 2018-03-01 |
20180060730 | LEVERAGING CLASS INFORMATION TO INITIALIZE A NEURAL NETWORK LANGAUGE MODEL - Methods and systems for language processing includes initializing a word embedding matrix based on pre-determined word classes, such that matrix entries associated with a class of which a word is a member are initialized to a non-zero value and other entries are initialized to zero. A neural network is trained based on the initialized word embedding matrix to generate a neural network language model. A language processing task is performed using the neural network language model. | 2018-03-01 |
20180060731 | STAGE-WISE MINI BATCHING TO IMPROVE CACHE UTILIZATION - A computer-implemented method is provided for neural network training. The method includes improving a cache utilization by one or more processors during multiple training stages of a neural network, by performing a stage-wise mini-batch process on a set of samples used for the multiple training stages. The stage-wise mini-batch process waits for each of the multiple training stages to complete using a system wait primitive to improve the cache utilization. | 2018-03-01 |
20180060732 | PERSONALIZED INTELLIGENT WAKE-UP SYSTEM AND METHOD BASED ON MULTIMODAL DEEP NEURAL NETWORK - A method for personalized intelligent wake-up system based on multimodal deep neural network comprises monitoring a sleeping status of a user; obtaining a current sleeping-stage of the user within a current time frame and a prediction of a next sleeping-stage of the user for a next time frame; correcting the current sleeping-stage of the user through combining the current sleeping-stage and the prediction of the next sleeping-stage; determining a wake up strategy for the current time frame; determining a relationship between each of a plurality of alarm impulses adopted to wake up the user and a corresponding reaction of the user; identifying a change in the current sleeping-stage for the current time frame; determining an alarm impulse to be triggered for waking up the user; and triggering the determined alarm impulse. | 2018-03-01 |
20180060733 | TECHNIQUES FOR ASSIGNING CONFIDENCE SCORES TO RELATIONSHIP ENTRIES IN A KNOWLEDGE GRAPH - A technique for assigning confidence scores to relationship entries in a knowledge graph includes assigning respective initial confidence scores to relationship n-tuples in a knowledge graph. Each of the relationship n-tuples designates at least a first entity, a second entity, and a relationship between the first and second entities or a single entity and a relationship between the single entity and one or more properties of the single entity. Respective feature vectors are associated with each of the relationship n-tuples. A training set that includes at least a subset of the relationship n-tuples labeled with respective ground truth labels is generated. Respective initial weights are learned for the feature vectors based on the training set. Respective subsequent confidence scores are generated for each of the relationship n-tuples based on the initial weights for the feature vectors. | 2018-03-01 |
20180060734 | RESPONDING TO USER INPUT BASED ON CONFIDENCE SCORES ASSIGNED TO RELATIONSHIP ENTRIES IN A KNOWLEDGE GRAPH - A technique for responding to user input includes assigning respective initial confidence scores to relationship n-tuples in a knowledge graph (KG). Each of the n-tuples designates at least a first entity, a second entity, and a relationship between the first and second entities or a single entity and a relationship between the single entity and one or more properties of the single entity. Respective feature vectors are associated with each of the n-tuples. A training set that includes at least a subset of the n-tuples labeled with respective ground truth labels is generated. Respective initial weights are learned for the feature vectors based on the training set. Respective subsequent confidence scores are generated for each of the n-tuples based on the initial weights for the feature vectors. A response to user input is generated based on the subsequent confidence scores for one or more of the n-tuples. | 2018-03-01 |
20180060735 | USE OF ASSET AND ENTERPRISE DATA TO PREDICT ASSET PERSONALITY ATTRIBUTES - Embodiments of the present invention provide systems and methods for predicting personality attributes. The method includes accessing a set of data for an operator. The method further includes analyzing the set of data, matching the operator to a set of personality attributes, and storing the matched set of personality attributes for the operator. | 2018-03-01 |
20180060736 | SYSTEMS AND METHODS FOR RECOMMENDING CONTENT ITEMS - Systems, methods, and non-transitory computer-readable media can determine a respective latent representation for each entity in a set of entities that are accessible through the social networking system, wherein a latent representation for an entity is determined based at least in part on a topic model associated with the entity, each latent representation for an entity having a lower dimensionality than a topic model of the entity. One or more candidate entities that are related to a first entity can be determined based at least in part on the respective latent representations for the candidate entities and the first entity. At least a first candidate entity from the one or more candidate entities can be provided as a recommendation to a user that formed a connection with the first entity. | 2018-03-01 |
20180060737 | ADAPTIVE ANALYTICAL MODELING TOOL - Methods, computer program products, and systems are presented. The methods include, for instance: building model connections between models in a knowledgebase, which stores case data as model networks. An exploration probability stored in the knowledgebase indicates a likelihood of new connections based on a case data input to be employed for an analytical model of the case data input, which includes numerous stages and multiple model choices in each stage. Based on the new connections and model networks of the knowledgebase, paths are created and performance of respective paths/connections are evaluated. A predefined number of top performing paths are selected and the models and attributes that do not appear in the top performing paths are eliminated from the knowledgebase. Probabilities of model networks and a future case data input are updated accordingly and a best-fit model for the case data input is presented to a user. | 2018-03-01 |
20180060738 | SYSTEMS AND TECHNIQUES FOR DETERMINING THE PREDICTIVE VALUE OF A FEATURE - A method for determining the predictive value of a feature may include: (a) performing predictive modeling procedures associated with respective predictive models, wherein performing each modeling procedure includes fitting the associated model to an initial dataset representing an initial prediction problem; (b) determining a first accuracy score of each of the fitted models, representing an accuracy with which the fitted model predicts an outcome of the initial prediction problem; (c) shuffling values of a feature across observations included in the initial dataset, thereby generating a modified dataset representing a modified prediction problem; (d) determining a second accuracy score of each of the fitted models, representing an accuracy with which the fitted model predicts an outcome of the modified prediction problem; and (e) determining a model-specific predictive value of the feature for each of the fitted models based on the first and second accuracy scores of the fitted model. | 2018-03-01 |
20180060739 | PER-ARTICLE PERSONALIZED MODEL FEATURE TRANSMORMATION - A system, a machine-readable storage medium storing instructions, and a computer-implemented method as described herein are directed to a Fast Ranker Engine that identifies global model features present in an article in a social network service. The Fast Ranker Engine assembles respective fixed vectors based on at least one member account feature and each coefficient that corresponds to a present global article feature of the global model. The Fast Ranker Engine generates a transformation feature(s) for a prediction model of the article based on the respective fixed vectors. | 2018-03-01 |
20180060740 | VIRTUAL RESOURCE T-SHIRT SIZE GENERATION AND RECOMMENDATION BASED ON CROWD SOURCING - T-shirt size recommendation for a first user based on crowd sourcing. A recommendation for t-shirt size may be made by defining a first image of a container based on historical data related to container instantiation; receiving, by the computer, from a first user, a request to deploy a first instantiation of a container corresponding to the first image, with the request including input data including information indicative of a planned context of the first instantiation; applying a plurality of machine logic based rules to the input data to determine a first a first recommended T-shirt size associated with the first image; and communicating, by the computer, the first recommended T-shirt size to the first user for use with the first instantiation of the container corresponding to the first image. | 2018-03-01 |
20180060741 | MEDIUM STORING DATA CONVERSION PROGRAM, DATA CONVERSION DEVICE, AND DATA CONVERSION METHOD - A data conversion method performed by a computer, the method is configured to cause the computer to; when the computer receives a plurality of data, acquire first information and second information from a storage, the first information designating any data among the plurality of data, the second information designating a predetermined number of data, data formats of which are collectively converted among the plurality of data; acquire, based on the acquired first information and the acquired second information, the predetermined number of conversion target data from the received plurality of data; extract each pieces of specific information embedded in each of the acquired predetermined number of conversion target data; and convert the data format of each of the respective predetermined number of conversion target data by using the extracted predetermined number of pieces of the specific information. | 2018-03-01 |
20180060742 | Methods and Cloud Processing Systems for Processing Data Streams From Data Producing Objects of Vehicles, Location Entities and Personal Devices - Methods and systems are provided for cloud processing data streamed from a vehicle and a home (e.g., any location) associated with a user account. One method includes receiving a data stream from the vehicle entity, where the data stream from the vehicle entity includes metadata from one or more data producing objects of the vehicle entity. And, receiving a data stream from the home entity, where the data stream from the home entity includes metadata from one or more data producing objects of the home entity. The method includes accessing action conditions associated with a user account. The action conditions identify a position where at least one or more states of the metadata from each of the home entity and the vehicle entity intersect. And, each action condition identifies a type or types of control information to be processed. The method includes processing the received metadata from the vehicle entity and the home entity. The processing identifies metadata of the home entity and the vehicle entity that includes an intersection of said at least one or more states of said respective metadata of the home entity and the vehicle entity. The intersection is indicative that a specific action condition being satisfied. The method includes sending, in response to the specific action condition being satisfied, control information to the user account. The logic associated with the user account determines when the control information is sent to the vehicle entity or the home entity for surfacing information or making a setting regarding the satisfied specific action condition. Intersections can also be identified with user devices that may be associated with the user account. | 2018-03-01 |
20180060743 | Electronic Book Reader with Supplemental Marginal Display - Digital content is received and supplemental content metadata is produced. The supplemental content metadata indicates a location of a feature in the digital content that is predicted to be of interest to a user. A digital content package is created that includes the digital content and the supplemental content metadata. The digital content package is provided to an electronic device, which presents the digital content in conjunction with a notification that a current position in the digital content is approaching the location of the feature. | 2018-03-01 |
20180060744 | SYSTEMS FOR SECOND-ORDER PREDICTIVE DATA ANALYTICS, AND RELATED METHODS AND APPARATUS - A predictive modeling method may include obtaining a fitted, first-order predictive model configured to predict values of output variables based on values of first input variables; and performing a second-order modeling procedure on the fitted, first-order model, which may include: generating input data including observations including observed values of second input variables and predicted values of the output variables; generating training data and testing data from the input data; generating a fitted second-order model of the fitted first-order model by fitting a second-order model to the training data; and testing the fitted, second-order model of the first-order model on the testing data. Each observation of the input data may be generated by (1) obtaining observed values of the second input variables, and (2) applying the first-order predictive model to corresponding observed values of the first input variables to generate the predicted values of the output variables. | 2018-03-01 |
20180060745 | IDENTIFICATION AND CLASSIFICATION OF WEB TRAFFIC INSIDE ENCRYPTED NETWORK TUNNELS - The present principles are directed to identifying and classifying web traffic inside encrypted network tunnels. A method includes analyzing network traffic of unencrypted data packets to detect packet traffic, timing, and size patterns. The detected packet, timing, and size traffic patterns are correlated to at least a packet destination and a packet source of the unencrypted data packets to create at least one of a training corpus and a model built from the training corpus. The at least one of the corpus and model is stored in a memory device. Packet traffic, timing, and size patterns of encrypted data packets are observed. The observed packet traffic, timing, and size patterns of the encrypted data packets are compared to at least one of the training corpus and the model to classify the encrypted data packets with respect to at least one of a predicted network host and predicted path information. | 2018-03-01 |
20180060746 | METHOD OF EXPLAINING A SCORE - A score explanation method for explaining a score includes at least steps of: a1) providing a first score associated with a first vector containing the first values of the parameters; b) generating a first set of lists, each list including a second number of indicators; c) generating, from a list, of at least a third vector wherein each parameter has a third value; the third value being equal to the corresponding first value when the list does not include an indicator of the corresponding parameter, and different from the corresponding first value otherwise; d) calculating the score of at least one third vector; e) evaluating, from the scores calculated for each of the third vectors, an indicator of significance of each parameter; f) elaborating, from the evaluated indicators of significance, an explanation of the first score. | 2018-03-01 |
20180060747 | INTELLIGENT CANDIDATE GENERATION FOR LARGE-SCALE LINK RECOMMENDATION - A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein are directed to a Candidate Engine. The Candidate Engine generates a key(s) based on respective shared attributes between first profile data of a first member account and second profile data of a second member account in a social network service, The Candidate Engine assembles, according to encoded rules of a prediction model, feature vector data for each key. The encoded rules comprises at least one pre-defined feature predictive of an affinity between the first member account and the second member account. The Candidate Engine processes, according to the prediction model, the feature vector data for each key. The Candidate Engine receives predictive output from the prediction model. | 2018-03-01 |
20180060748 | RECOMMENDER SYSTEM FOR HETEROGENEOUS LOG PATTERN EDITING OPERATION - A heterogeneous log pattern editing recommendation system and computer-implemented method are provided. The system has a processor configured to identify, from heterogeneous logs, patterns including variable fields and constant fields. The processor is also configured to extract a category feature, a cardinality feature, and a before-after n-gram feature by tokenizing the variable fields in the identified patterns. The processor is additionally configured to generate target similarity scores between target fields to be potentially edited and other fields from among the variable fields in the heterogeneous logs using pattern editing operations based on the extracted category feature, the extracted cardinality feature, and the extracted before-after n-gram feature. The processor is further configured to recommend, to a user, log pattern edits for at least one of the target fields based on the target similarity scores between the target fields in the heterogeneous logs. | 2018-03-01 |
20180060749 | CONTENT GENERATION AND TARGETING USING MACHINE LEARNING - A system and method for content generation and targeting using machine learning are provided. In example embodiments, a probability that a user will visit a webpage based on historical data is calculated. A probability that the user will engage with a particular content category based on past user engagement is calculated. In response to the probability of the user engaging with the particular content category being equal to or greater than a first threshold, the content is generated. Further, in response to the probability of the user not visiting a webpage meeting or exceeding a second threshold, the generated content is sent to the user. | 2018-03-01 |
20180060750 | DETERMINING METRICS CHARACTERIZING NUMBERS OF UNIQUE MEMBERS OF MEDIA AUDIENCES - Example methods disclosed herein include accessing a query requesting a metric associated with a number of unique members of an audience of media over an aggregate monitoring interval corresponding to a plurality of component monitoring intervals. Disclosed example methods also include determining respective aggregate interval probability distributions modeling likelihoods of respective monitored individuals being exposed to the media during the aggregate monitoring interval, a first one of the aggregate interval probability distributions for a first one of the monitored individuals being determined by combining parameters of respective component interval probability distributions modeling likelihoods of the first one of the monitored individuals being exposed to the media during respective ones of the component monitoring intervals. Disclosed example methods further include evaluating an audience-level probability distribution determined from the aggregate interval probability distributions to determine the metric to transmit to the computing device in response to the query. | 2018-03-01 |
20180060751 | METHOD FOR DETERMINING TACTICAL ACTIONS - Disclosed is a method for determining tactical actions for protecting a reference entity with respect to a plurality of entities in a battlefield environment, the method including: segmenting the battlefield environment into a plurality of layers; associating actable deterrent systems with each layer; obtaining data representative of the probability, for each deterrent system, that the considered deterrent system deters an entity in the associated layer; providing, for each entity, the level of threat of the entity; and computing a cost function for determining the deterrent systems to be engaged by the reference entity for rendering extremal the cost function, the cost function being a function depending from the provided level of threat and the obtained data. | 2018-03-01 |
20180060752 | ROBUST TRAINING TECHNIQUE TO FACILITATE PROGNOSTIC PATTERN RECOGNITION FOR ENTERPRISE COMPUTER SYSTEMS - The disclosed embodiments relate to a technique for training a prognostic pattern-recognition system to detect incipient anomalies that arise during execution of a computer system. During operation, the system gathers and stores telemetry data obtained from n sensors in the computer system during operation of the computer system. Next, the system uses the telemetry data gathered from the n sensors to train a baseline model for the prognostic pattern-recognition system. The prognostic pattern-recognition system then uses the baseline model in a surveillance mode to detect incipient anomalies that arise during execution of the computer system. The system also uses the stored telemetry data to train a set of additional models, wherein each additional model is trained to operate with one or more missing sensors. Finally, the system stores the additional models to be used in place of the baseline model when one or more sensors fail in the computer system. | 2018-03-01 |
20180060753 | ESTIMATION OF REACH OVERLAP AND UNIQUE REACH FOR DELIVERY OF CONTENT ITEMS - An online system obtains a set of resolved impressions based on historical data about multiple publishers. A set of features is then extracted, for each resolved impression, based on a comparison of historical data about the first publisher and the second publisher. The online system performs training of a machine-learned model based on the set of features. Data about a plurality of new impressions are input into the trained machine-learned model to obtain an output of the trained machine-learned model. A reach overlap metric and unique reach metric can be computed based on the output of the trained machine-learned model. | 2018-03-01 |
20180060754 | ANTICIPATING USER DISSATISFACTION VIA MACHINE LEARNING - A server of a transportation network determines characteristics of trips provided to users, as well as the usage of the services by users. Using the determined characteristics, the server trains a model that, for a given set of trips for a user, estimates a degree of likely user dissatisfaction with the trips. Based on the estimated degree of user dissatisfaction, the system can estimate user dissatisfaction in real time, directly after completion of a trip, and can take remedial actions should the user be estimated to be likely dissatisfied. | 2018-03-01 |
20180060755 | SYSTEMS AND METHODS FOR RECOMMENDING PAGES - Systems, methods, and non-transitory computer-readable media can generate layered training data for determining embeddings for entities that are accessible through the social networking system, wherein the layered training data includes layers of data that are organized by a hierarchy, and wherein each layer of data corresponds to entities of a same type. A respective embedding for each entity in a set of entities can be determined, wherein the embeddings are trained iteratively using each layer of data in the layered training data. One or more candidate entities that are related to a first entity can be determined based at least in part on the respective embeddings for the candidate entities and the first entity. At least a first candidate entity from the one or more candidate entities can be provided as a recommendation to a user that formed a connection with the first entity. | 2018-03-01 |
20180060756 | PER-ARTICLE PERSONALIZED MODELS FOR RECOMMENDING CONTENT EMAIL DIGESTS WITH PERSONALIZED CANDIDATE ARTICLE POOLS - A system, a machine-readable storage medium storing instructions, and a computer-implemented method as described herein are directed to a Personalized Article Engine that generates respective prediction models for each article in a plurality of candidate articles in a social network system. The Personalized. Article Engine generates a respective article score according to each article's prediction model and at least one feature of a target member account. The Personalized Article Engine generates a plurality of output scores based on combining each respective article score with a corresponding article's global model score. The Personalized Article Engine ranks the output scores to identify a subset of candidate articles relevant to the target member account. | 2018-03-01 |
20180060757 | DATA ANNOTATION METHOD AND APPARATUS FOR ENHANCED MACHINE LEARNING - A data annotation apparatus for machine learning is provided, which includes a stimulus generation portion, a biometrics reading portion, and a data integration portion. The stimulus generation portion is configured to generate, and present to an agent, at least one stimulus based on a first data from a first machine learning dataset. The biometrics reading portion is configured to measure at least one response of the agent to the at least one stimulus, and to generate biometrics data based on the at least one response. The data integration portion is configured to integrate the biometrics data, data of the at least one stimulus, and data of the first machine learning dataset to thereby obtain a second machine learning dataset. The data annotation apparatus can result in an improved data labeling and an enhanced machine learning. | 2018-03-01 |
20180060758 | SOURCE IDENTIFICATION BY NON-NEGATIVE MATRIX FACTORIZATION COMBINED WITH SEMI-SUPERVISED CLUSTERING - Machine-learning methods and apparatus are provided to solve blind source separation problems with an unknown number of sources and having a signal propagation model with features such as wave-like propagation, medium-dependent velocity, attenuation, diffusion, and/or advection, between sources and sensors. In exemplary embodiments, multiple trials of non-negative matrix factorization are performed for a fixed number of sources, with selection criteria applied to determine successful trials. A semi-supervised clustering procedure is applied to trial results, and the clustering results are evaluated for robustness using measures for reconstruction quality and cluster separation. The number of sources is determined by comparing these measures for different trial numbers of sources. Source locations and parameters of the signal propagation model can also be determined. Disclosed methods are applicable to a wide range of spatial problems including chemical dispersal, pressure transients, and electromagnetic signals, and also to non-spatial problems such as cancer mutation. | 2018-03-01 |
20180060759 | AUTOMATED COMPUTER-BASED MODEL DEVELOPMENT, DEPLOYMENT, AND MANAGEMENT - Computer-based models can be developed, deployed, and managed in an automated manner. For example, a model building tool can be selected based on the model building tool being compatible with one or more parameters. A first machine-learning model can be generated using the model building tool and trained using a training dataset. The first machine-learning model can then be used to perform a task. Thereafter, a new model-building tool can be selected based on the new model-building tool being compatible with the one or more parameters. A second machine-learning model can be generated using the new model-building tool and trained using the training dataset. The accuracy of the first machine-learning model can be compared to the accuracy of the second machine-learning model. Based on the second machine-learning model being more accurate, the second machine-learning model can be used to perform the particular task rather than the first machine-learning model. | 2018-03-01 |
20180060760 | Automated Systems and Methods for Generative Multimodel Multiclass Classification and Similarity Analysis Using Machine Learning - Under one aspect, a computer-implemented method includes receiving a query at a query interface about whether a computer file comprises malicious code. It is determined, using at least one machine learning sub model corresponding to a type of the computer file, whether the computer file comprises malicious code. Data characterizing the determination are provided to the query interface. Generating the sub model includes receiving computer files at a collection interface. Multiple sub populations of the computer files are generated based on respective types of the computer files, and random training and testing sets are generated from each of the sub populations. At least one sub model for each random training set is generated. | 2018-03-01 |
20180060761 | DIGITAL RIGHTS MANAGEMENT (DRM)-ENABLED POLICY MANAGEMENT FOR AN IDENTITY PROVIDER IN A FEDERATED ENVIRONMENT - A method operative at an identity provider enforces a digital rights management (DRM) scheme associated with a piece of content. The identity provider is an entity that participates in a “federation” with one or more other entities including, for example, an service provider (e.g., a content provider), a DRM privileges provider, and a DRM policy provider. In one embodiment, the method begins by having the identity provider obtain and evaluate against a DRM policy a set of DRM privileges associated with the end user requesting access to the piece of content. Based on the evaluation, the identity provider generates a single sign on (SSO) message that includes a reference to the set of DRM privileges. The message is then forward to the service provider entity, which provides the end user a response. | 2018-03-01 |
20180060762 | Real-Time Probability Determined Iteratively Throughout a Period of Time - A system is disclosed for determining a real-time probability iteratively throughout a period of time. The system conducts an upgrade analysis by determining that an expected marginal seat revenue for a sale of an additional coach seat is greater than an expected marginal seat revenue for a sale of an additional first class seat. | 2018-03-01 |
20180060763 | METHOD AND APPARATUS FOR GENERATING INCOMPLETE SOLUTION SETS FOR NP HARD PROBLEMS - A method and system for addressing NP hard problems that more efficiently generates partial solution sets with more easily identifiable, locally optimized solutions. The invented method increases the quantity of n factors that might effectively be considered in developing incomplete solution sets for NP hard problems. The invented method broadens the capacity of computer technology to address NP hard problems where solutions would be practically impossible to generate. A plurality of assets are assigned by designating lower valued assets to lower ranked requests. When all assets of a lower type are assigned, the remaining unassigned requests are allocated to unassigned assets of the next higher type. When all assets of the highest type are classified, selected assets may be then reassigned to insure that higher valued requests are assigned to assets, permitting lower valued requests to (a.) be assigned to lower valued assets; or (b.) be unassigned and thereby denied. | 2018-03-01 |
20180060764 | Autonomous Shuffling Of Pallets Of Items In A Warehouse - Examples described may enable rearrangement of pallets of items in a warehouse to an optimal layout. An example method includes receiving real-time item information including pallet locations in a warehouse and real-time inventory of items arranged on the pallets; determining a likelihood of demand for future access to the pallets based on a pallet relocation history and item receiving/shipment expectations; based on the real-time item information and the likelihood of demand, determining an optimal controlled-access dense grid layout in which distances of the pallets from a center of the layout are related to the likelihood of demand; receiving real-time robotics information and using the real-time robotics information to determine an amount of time to rearrange the pallets to the optimal layout; and, based on the amount of time to rearrange the pallets being less than a threshold, causing the robotic devices to rearrange the pallets to the optimal layout. | 2018-03-01 |
20180060765 | Autonomous Condensing Of Pallets Of Items In A Warehouse - Examples described may enable consolidating pallets of items in a warehouse. An example method includes receiving real-time item information including pallet locations in a warehouse and inventory of items arranged on the pallets; based on the real-time item information, identifying a set of pallets of which at least one pallet includes less than a threshold quantity of a type of item; receiving real-time robotics information and determining, based on the real-time item and robotics information, an amount of time to condense the items on the set of pallets into a single pallet and a quantity of pallets that will become empty as a result of condensing the items; and, based on the amount of time being less than a threshold time and the quantity of pallets exceeding a threshold quantity of pallets, causing robotic devices to condense the items into the single pallet. | 2018-03-01 |
20180060766 | SYSTEMS AND METHODS FOR ASSIGNMENT OF EQUIPMENT TO AN OFFICER - A system for tracking, assigning, and issuing equipment to security agency personnel (e.g., officers, administration, command, armorer). An armorer is assigned the task of tracking, assigning, and issuing equipment. Equipment may be assigned to a particular individual officer. | 2018-03-01 |
20180060767 | FOOD SAFETY MANAGEMENT SYSTEM - Disclosed are various embodiments of a food safety management system, including a web portal for management and reporting and a handheld computing device for checklist completion. A checklist of tasks to be performed in a food service establishment is obtained and displayed on a touchscreen of the handheld computing device. Confirmation is obtained on the touchscreen whether a task has been completed. An identifier at a location in the food service establishment is inputted to verify that a task has been completed. Temperature and humidity readings are obtained from one or more stationary sensors monitoring a food storage environment. Task completion data, temperature data, and humidity data are sent to a server. | 2018-03-01 |