Abstract: A store profile generation method includes moving a mobile base around a product facility which includes an arrangement of product display units for displaying products. Product labels are associated with the display units. The product labels display product-related data for the displayed products. With an image capture assembly mounted on the mobile base, images are acquired of the product display units at a sequence of locations of the mobile base. With a computer processor, the product-related data is extracted from the acquired images and a store profile is constructed, based on the extracted product-related data, a spatial characterization of the image capture assembly, and information on the locations of the mobile base when the images were acquired, which indicates locations of the product labels throughout the product facility.

Abstract: A system for acquiring multi-angle images of a product includes a workstation having a working surface for placing a product, a camera supporting member having a vertical axis, and an image capturing device movably attached to the camera supporting member so that it may move along the vertical axis of the camera supporting member. The system captures and analyzes a digital image of a product to detect the vertical center of the product, and adjusts the position of the image capturing device along the vertical axis so that the vertical center of the product is proximate to the vertical center of the image. The system may also have a turntable and additionally rotate the turntable at multiple capturing angles and capture one or more additional digital images of the product at various capturing angles and store the one or more additional images in a product database.

Abstract: A system for assessing a property damage claim uses an imaging device to capture images of a property that has reportedly been damaged by an incident. The system receives a property damage incident type, along with image processing criteria for processing images that are associated with the incident type. The system automatically processes the images according to the image processing criteria to identify one or more characteristics in the images and, based on the identified characteristics, determines whether certain claim processing criteria are satisfied. The claim processing criteria may help the system determine whether the property actually was damaged by the reported incident. The system will generate a command to process the property damage claim only if the system determines that one or more images show that the claim processing criteria are satisfied.

Abstract: System and methods for personalizing an application include an application server for hosting an application that is executed on a wireless device, the server being configured to monitor usage of a user interface including an interaction between a user of the application and one or more user interface elements and present an updated user interface comprising one or more additional user-interface elements based on the usage.

Abstract: Crime information that corresponds to a set of crimes occurrences is gathered. This information is processed time series datasets associated with geographical regions. Based on the time series datasets, a target geographical region is grouped (clustered) with a set of other geographical regions. This clustering is based on statistical similarities among respective time series datasets. Operational information associated with the geographical regions is received. Based on the operational information, and the clustering, a recommended operational allocation is selected to be used in the target geographical region.

Abstract: A method and a system are provided for interaction with a digital signage board. An electronic device receives, via a transceiver, a first metadata associated with a first grid displayed on the digital signage board that is configured to display a plurality of multimedia content items in a plurality of first cells of the grid. The electronic device receives, via the transceiver, a second metadata associated with the plurality of multimedia content items. The one or more processors in the electronic device display a second grid comprising a plurality of second cells that are based on the first metadata and the second metadata. The one or more processors in the electronic device further update a property associated with at least one of the plurality of second cells based on a user profile stored in the electronic device and the second metadata.

Abstract: The disclosed embodiments illustrate methods of data processing for text classification of a target domain. The method includes generating a plurality of clusters from a plurality of first text segments corresponding to a plurality of source domains, based on an association of the plurality of first text segments with a plurality of categories. The method further includes computing a similarity score of each of a plurality of second text segments corresponding to the target domain for each of the plurality of clusters. The method further includes identifying a pre-specified count of clusters from the plurality of clusters, based on the computed similarity score. Further, the method includes training a first classifier by utilizing first text segments in the identified pre-specified count of clusters, wherein the trained first classifier is utilized to automatically classify the plurality of second text segments into categories associated with the identified pre-specified count of clusters.

Abstract: According to embodiments illustrated herein, a method is provided for designing an image-analysis task. The method includes receiving one or more first target values of one or more output parameters of the image-analysis task from a requester through a GUI. Thereafter, one or more first values of one or more input parameters, associated with the image-analysis task, corresponding to the one or more first target values are determined based on the one of more first target values and a model. The model corresponds to a relationship between the one or more input parameters and the one or more output parameters. Further, the one or more first values of the one or more input parameters are presented to the requester through the GUI. The requester at least provides one or more second target values of the one or more output parameters through the GUI, based on the presentation.

Abstract: A method for assigning a topic to a collection of microblog posts may include, by an acquisition module, receiving from at least one messaging service server, a plurality of posts, wherein each of the plurality of posts comprise post content; by a generation module, analyzing the posts and extract, from at least one of the posts, a link with an address to an external document; and, by the acquisition module, accessing the external document that is associated with the address and fetch external content associated with the document. The method may also include by the generation module: analyzing the post content to identify at least one label for each post, for each post that includes a link, analyzing the external content to identify a topic, and using a topic modeling technique to generate a trained topic model comprising a plurality of topics and a plurality of associated words.

Abstract: An access control device includes a primary access barrier configured move between a closed position and an open position. The primary access barrier may be configured to extend into an access passage of the access control device to prevent access through the access passage when in the closed position and to move away from the access passage to permit access through the access passage when in an open position. An entry access barrier is positionable in the access passage of the access control device on a first side of the primary access barrier, and an exit barrier is positionable in the access passage of the access control device on a second side of the primary access barrier opposite the first side. Systems and methods relate to access control devices.

Abstract: A system of forecasting future print job demand for a print shop may include a computing device, a print shop having a plurality of print devices in communication with the computing device, a historical database in communication with the computing device, and a computer-readable storage medium comprising one or more programming instructions.

Abstract: Presented are a system, method, and apparatus for automatic topic relevant content filtering from social media text streams using weak supervision. A computing device utilizes heuristic rules allowing topic filtering and a data stream data chunk identifier. A plurality of messages are transmitted as streaming message data from a social media network in real-time. The messages are split into a plurality of data stream data chunks according to the data stream data chunk identifier. A rule-based labeled data set L0 is built from one or more data instances in the first stream data chunk. An initial classifier is built based upon features of L0. The initial classifier is applied to a next data stream data chunk to build a labeled data set L1. A subset of representative instances S1 is selected from labeled data set L1. A first representative classifier C1 is constructed from representative instance S1.

Abstract: Disclosed are embodiments of methods and systems for predicting mortality of a first patient. The method comprises categorizing a historical data into a first category and a second category. The method further comprises determining a first test parameter and a second test parameter based on at least one of a sample data of a first patient and the historical data corresponding to at least one of the first category and the second category. The method further comprises determining a probability score based on a cumulative distribution of at least one of the first test parameter and the second test parameter. The method further comprises categorizing the sample data in one of the first category and the second category based on the probability score. Further, the method comprises predicting the mortality of the first patient based on at least the categorization of the sample data of the first patient.

Abstract: Disclosed are embodiments of method and system to predict health condition of a human subject. The method comprises receiving historical human-subject related data including records corresponding to multiple data views. The method estimates one or more latent variables based on: a first value indicative of count of records in a cluster, a second value indicative of count of records, and a third value indicative of a parameter utilizable to predict a fourth value. The fourth value corresponds to selection probability of a D-vine pair copula family, of a D-vine mixture model, utilizable to model a cluster. The method generates the D-vine mixture model based on the estimated one or more latent variables. The method further comprises receiving multi-view data of a second human subject and predicting health condition of the second human subject based on the multi-view data using a classifier trained based on the estimated latent variables.

Abstract: The disclosed embodiments illustrate methods and systems for processing social media data for content recommendation to a user. The method includes extracting a set of entity data from the social media data of the user. The method further includes extracting semantic data of each entity data in the extracted set of entity data from one or more knowledge databases over a communication network. The method further includes generating a user-interest vector of the user. The user-interest vector of the user is generated based on at least a mapping of the extracted semantic data of each entity data with one or more leaf nodes in an interest taxonomy. The generated user-interest vector is further utilized for recommending targeted content to the user.

Abstract: A method for trip validation includes receiving signals, on a vehicle, from one of a plurality of spaced stationary beacons on a transportation route, the signals including localization data for the respective beacon. A passenger identifier is received from a mobile communication device of a passenger on the vehicle via short range communication. Encrypted transaction data is generated, based on the user identifier, localization data, and a timestamp. The encrypted transaction data is transmitted to passenger mobile communication devices which relay the data to an associated server for processing. The method allows the location of a public transportation device to be identified without the need to provide GPS localization equipment on the vehicle.

Abstract: Disclosed are embodiments of methods and systems for predicting a health condition of a first human subject. The method comprises receiving a measure of one or more physiological parameters associated with the first human subject. The method estimates one or more latent variables based on a first count indicative of a number of the plurality of d-vines, a second count indicative of a number of the one or more records, a first value that is representative of a number of the one or more records clustered into a d-vine from the plurality of d-vines, and a second value that is representative of a parameter utilizable to predict a third value. The method generates the plurality of d-vines based on the estimated one or more latent variables. The method predicts health condition of the first human subject by utilizing a trained classifier based on the estimated one or more latent variables.

Abstract: The disclosed embodiments illustrate methods of data processing for training a target domain classifier to label text segments. The method includes identifying a set of common keywords with same label from a set of source keywords and a set of target keywords. The method includes training a first classifier, based on the set of common keywords, to label a first set of target text segments. The method includes training a second classifier based on at least a subset of the labeled first set of target text segments. The method includes training a third classifier, based on the first classifier and the second classifier, to label a second set of target text segments, wherein a subset of the labeled second set of target text segments is utilized for re-training the second classifier. The method further includes determining labels of another plurality of target text segments based on the re-trained second classifier.

Abstract: A store profile generation system includes a mobile base and an image capture assembly mounted on the base. The assembly includes at least one image capture device for acquiring images of product display units in a product facility, product labels being associated with the product display units which include product-related data. A control unit acquires the images captured by the at least one image capture device at a sequence of locations of the mobile base in the product facility. The control unit extracts the product-related data from the acquired images and constructs a store profile indicating locations of the product labels throughout the product facility, based on the extracted product-related data. The store profile can be used for generating new product labels for a sale in an appropriate order for a person to match to the appropriate locations in a single pass through the store.

Abstract: Disclosed are embodiments of methods and systems for predicting a health condition of a first human subject. The method comprises extracting a historical data including physiological parameters of second human subjects. Thereafter, a first distribution of a first physiological parameter is determined based on a marginal cumulative distribution of a rank transformed historical data. Further, a second distribution of a second physiological parameter is determined based on the first distribution and a first conditional cumulative distribution of the rank transformed historical data. Further, a latent variable is determined based on the first and the second distributions. Thereafter, one or more parameters of at least one bivariate distribution, corresponding to a D-vine copula, are estimated based on the latent variable. Further, a classifier is trained based on the D-vine copula. The classifier is utilizable to predict the health condition of the first human subject based on his/her physiological parameters.