Abstract: The present invention discloses a focus-stacking imaging method and system based on correlation-based seismic interferometry.

Abstract: Text input data may be aggregated and mapped to create composite text input data for electronic records. A semantic event may be automatically detected, triggered by a semantic rule and associated semantic tag. The detected semantic event may be flagged, and a text mining result database may be updated by adding an entry to the database. An indication associated with the event may be transmitted, and a back-end application computer server may establish a hierarchy for multiple elements of the electronic records. The computer server may determine a weight variable and response variable for each element in the hierarchy and apply a hierarchical credibility weighting methodology to the elements from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records.

Abstract: Text input data may be aggregated and mapped to create composite text input data for electronic records. A semantic event may be automatically detected, triggered by a semantic rule and associated semantic tag. The detected semantic event may be flagged, and a text mining result database may be updated by adding an entry to the database. An indication associated with the event may be transmitted, and a back-end application computer server may establish a hierarchy for multiple elements of the electronic records. The computer server may determine a weight variable and response variable for each element in the hierarchy and apply a hierarchical credibility weighting methodology to the elements from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records.

Abstract: An automatic urban land identification system integrating business big data with building forms, including a data acquiring and inputting module, a database construction module, a machine learning training module, an automatic identification module, and a data outputting module. The system automatically identifies an urban land by extracting a data distribution feature of an urban business site and a multi-dimensional form feature of an urban spatial three-dimensional entity. The system can be used for the determining of land usage of an urban plot in the field of urban planning and design, to achieve efficient and automatic refined identification of land usages of cities of different scales based on an artificial intelligence system, providing an efficient and convenient surveying and mapping approach and reference for surveying and mapping of the current urban construction land, and effectively saving time costs of manual surveying and mapping.

Abstract: A computing system can receive location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service. The system can determine a set of locational attributes of a respective driver and determine whether one or more anomalous locational attributes are present in the set of locational attributes of the respective driver. In response to determining that one or more anomalous locational attributes are present, the system can associate a data set with a driver profile of the respective driver.

Abstract: A computing system can receive, over one or more networks, location data from the computing devices of user as the user operate throughout a region. For each user, the computing system can determine whether the user is operating a location-spoofing application on the computing device of the user based, at least in part, on the location data received from the computing device of the user.

Abstract: An image processing apparatus for acquiring a current video frame and a scene model based on an input video; determining, based on visual elements in the current video frame, visual element models in the scene model to be visual element models necessary to be corrected and visual element models unnecessary to be corrected; and correcting the visual element models necessary to be corrected based on reference visual element models, wherein the reference visual element models are visual element models in the scene model that are determined to be the visual element models unnecessary to be corrected based on each of the current video frame and its previous video frames, similarities among the appearance features of the reference visual element models and the visual element models necessary to be corrected in the previous video frames satisfy a predetermined condition.

Abstract: A method for performing illumination color prediction on an image in a neural network model, comprising: inputting an image to the neural network model; extracting a semantic-based illumination color feature of the image and a statistical rule-based illumination color feature of the image; and predicting an illumination color of the image according to the semantic-based illumination color feature and the statistical rule-based illumination color feature.

Abstract: A computing system can receive, over one or more networks, location data from the computing devices of user as the user operate throughout a region. For each user, the computing system can determine whether the user is operating a location-spoofing application on the computing device of the user based, at least in part, on the location data received from the computing device of the user.

Abstract: Text input data may be aggregated and mapped to create composite text input data for electronic records. A semantic event may be automatically detected, triggered by a semantic rule and associated semantic tag. The detected semantic event may be flagged, and a text mining result database may be updated by adding an entry to the database. An indication associated with the event may be transmitted, and a back-end application computer server may establish a hierarchy for multiple elements of the electronic records. The computer server may determine a weight variable and response variable for each element in the hierarchy and apply a hierarchical credibility weighting methodology to the elements from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records.

Abstract: The present invention relates to therapeutic dosing regimens utilizing a dose reduction strategy for treating disorders characterized by marked elevations of low density protein cholesterol (LDL-C) in the plasma of a patient. The subject therapeutic dosing regimens involve delivering as a single administration or plurality of administrations of an anti-proprotein convertase subtilisin kexin type 9 (PCSK9) antagonist antibody as an initial dose of at least about 100 mg, and delivering as a single administration or plurality of administrations at a subsequent dose in an amount that is about the same as the initial dose, or at least half the initial dose after the patient has a LDL-C level at or below about 25, 20, 15 or 10 mg/dL, preferably at or below 10 mg/dL.

Abstract: Text input data may be aggregated and mapped to create composite text input data for electronic records. A semantic event may be automatically detected, triggered by a semantic rule and associated semantic tag. The detected semantic event may be flagged, and a text mining result database may be updated by adding an entry to the database. An indication associated with the event may be transmitted, and a back-end application computer server may establish a hierarchy for multiple elements of the electronic records. The computer server may determine a weight variable and response variable for each element in the hierarchy and apply a hierarchical credibility weighting methodology to the elements from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records.

Abstract: An image processing apparatus for acquiring a current video frame and a scene model based on an input video; determining, based on visual elements in the current video frame, visual element models in the scene model to be visual element models necessary to be corrected and visual element models unnecessary to be corrected; and correcting the visual element models necessary to be corrected based on reference visual element models, wherein the reference visual element models are visual element models in the scene model that are determined to be the visual element models unnecessary to be corrected based on each of the current video frame and its previous video frames, similarities among the appearance features of the reference visual element models and the visual element models necessary to be corrected in the previous video frames satisfy a predetermined condition.

Abstract: An electronic device comprises a data transmitting interface configured to transmit data, a memory configured to store the data, a processor configured to execute an application program, and an accelerator coupled to the processor via a bus. According to an operation request transmitted from the processor, the accelerator reads the data from the memory, performs an operation to the data to generate computed data, and stores the computed data in the memory. The electronic device can improve computational efficiency. An accelerator and an accelerating method applicable to a neural network operation are also provided.

Abstract: A system and method for providing and utilizing a proxy to provide group benefits products is disclosed. The system and method include providing at least one variable for calculating applicability and cost of a group benefits product by proxy, wherein the proxy is provided by information included in at least a workers compensation (WC) system. The at least one variable may include WC average salary, area, industry, blue score and/or median household age. The group benefit product may be a long term disability insurance product and/or a life insurance product.

Abstract: A system and method are suited for assessing video performance analysis. A computer graphics engine clones real-world data in a virtual world by decomposing the real-world data into visual components and objects in one or more object categories and populates the virtual world with virtual visual components and virtual objects. A scripting component controls the virtual visual components and the virtual objects in the virtual world based on the set of real-world data. A synthetic clone of the video sequence is generated based on the script controlling the virtual visual components and the virtual objects. The real-world data is compared with the synthetic clone of the video sequence and a transferability of conclusions from the virtual world to the real-world is assessed based on this comparison.

Abstract: Text input data may be aggregated and mapped to create composite text input data for electronic records. A semantic event may be automatically detected, triggered by a semantic rule and associated semantic tag. The detected semantic event may be flagged, and a text mining result database may be updated by adding an entry to the database. An indication associated with the event may be transmitted, and a back-end application computer server may establish a hierarchy for multiple elements of the electronic records. The computer server may determine a weight variable and response variable for each element in the hierarchy and apply a hierarchical credibility weighting methodology to the elements from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records.

Abstract: The present invention relates to therapeutic dosing regimens utilizing a dose reduction strategy for treating disorders characterized by marked elevations of low density protein cholesterol (LDL-C) in the plasma of a patient. The subject therapeutic dosing regimens involve delivering as a single administration or plurality of administrations of an anti-proprotein convertase subtilisin kexin type 9 (PCSK9) antagonist antibody as an initial dose of at least about 100 mg, and delivering as a single administration or plurality of administrations at a subsequent dose in an amount that is about the same as the initial dose, or at least half the initial dose after the patient has a LDL-C level at or below about 25, 20, 15 or 10 mg/dL, preferably at or below 10 mg/dL.

Abstract: A system and method are suited for assessing video performance analysis. A computer graphics engine clones real-world data in a virtual world by decomposing the real-world data into visual components and objects in one or more object categories and populates the virtual world with virtual visual components and virtual objects. A scripting component controls the virtual visual components and the virtual objects in the virtual world based on the set of real-world data. A synthetic clone of the video sequence is generated based on the script controlling the virtual visual components and the virtual objects. The real-world data is compared with the synthetic clone of the video sequence and a transferability of conclusions from the virtual world to the real-world is assessed based on this comparison.

Abstract: The present invention provides a method for obtaining a human-face feature vector from a video image sequence, comprising: detecting a same human-face image in a plurality of image frames of the video sequence; dividing the detected human-face image into a plurality of local patches with a predetermined size, wherein each local patch is around or near a human-face feature point; determining a correspondence relationship between respective local patches of the same human-face image in the plurality of image frames of the video sequence; and using human-face local feature vector components extracted from respective local patches having a mutual correspondence relationship to form human-face local feature vectors representing facial points corresponding to the local patches. Besides, the present invention further provides an apparatus for obtaining a human-face feature vector from a video image sequence and a corresponding computer program product.