Abstract: A magnetic resonance (MR) imaging acceleration method is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a plurality of blades being rotated in k-space, each blade including a plurality of views, wherein the k-space trajectory has an undersampling pattern in the k-space. The method also includes receiving k-space data of a subject acquired by the pulse sequence, reconstructing MR images of the subject based on the k-space data using compressed sensing, and outputting the reconstructed images.

Abstract: Leads may be generated for content sponsors based on expressions of interest by users, the users being users of an online system. These leads typically require time or expense from a sponsor to follow up on the lead. The online system scores leads for sponsors to prioritize responding to the generated leads. The scores may include a purchase capacity score and a purchase intent score. The purchase capacity score estimates a user's ability to spend an amount specified by the sponsor for the product, and the purchase intent score estimates a user's likelihood to convert or be interested in the sponsor's product. The scores may be combined to provide a single lead quality score for a user that obscures the source of the online system's prediction to the sponsor.

Abstract: This disclosure relates to the field of recommendation of learning competencies. The usage of competency-based learning platforms is growing as it provides a safe learning environment where learners/users can learn from the comfort of their homes at a convenient time. However, one of the challenges with competency-based learning platforms is to identify learning competencies/courses relevant to a learner as exhaustive material is available on the internet. The disclosure addresses the challenges by providing techniques for personalized recommendation of cognitive based learning competencies and skill based learning competencies. The disclosed techniques recommend cognitive based learning competencies and skill based learning competencies based on several techniques that include a machine learning, Natural Language Processing (NLP), a skill based recommendation technique and a collaborative cognitive recommendation technique.

Abstract: Method and apparatus for personal health navigation includes determining, by a processor, a personal health state space comprising a set of connected biological states for an individual; determining, for the individual, a region of interest within the personal health state space, in which the region of interest is defined by a goal state relative to a current state of the individual, the goal state associated with a personal health goal of the individual; determining a route comprising the current state, the goal state, and an intermediate state within the personal health state space, the intermediate state closer in distance to the goal state than the current state; and providing, to the individual, a health instruction indicative of a recommended action based on a connection between the current state and the intermediate state, in which the recommended action is selected to guide the individual to transition to the intermediate state.

Abstract: A method is disclosed which includes: receiving, from a third-party content provider, a link to a structured document on an external server, where the link is associated with a post of the online social network by the third-party content provider, and retrieving the structured document from the external server, where the structured document includes content and input fields. This step is followed by extracting a predefined set of information from the structured document about the content and input fields of the structured document. The extracted set of information from the structured document are then evaluated to determine one or more feature-values of the structured document. A machine learning model is used to classify the structured document as an external lead-generation type page based on the one or more feature-values of the structured document and a notification is sent to the third-party content provider if the structured document is classified as an external lead-generation type page.

Abstract: Embodiments herein relate to biosensors and other elements combined in real-time for health applications that acquire health data of an individual from one or more data streams by a first element and integrate these data through a second element that is configured to predict and/or recognize an interruptive health event and then via one or more successive elements alert one or more providers of a possible interruptive health event, enable the providers to propose one or more effective interventions, communicate directly with the individual and providers and/or caregivers, and/or provide confirmation in the event that effective interventions were made. Embodiments also relate to predicting and recognizing brain attack in real-time by acquiring and integrating health data from one or more data streams, interfacing with one or more providers so that they can propose and/or effect one or more effective interventions, and communicating with an affected individual, providers, and/or caregivers.

Abstract: Embodiments herein relate to biosensors and other elements combined in real-time for health applications that acquire health data of an individual from one or more data streams by a first element and integrate these data through a second element that is configured to predict and/or recognize an interruptive health event and then via one or more successive elements alert one or more providers of a possible interruptive health event, enable the providers to propose one or more effective interventions, communicate directly with the individual and providers and/or caregivers, and/or provide confirmation in the event that effective interventions were made. Embodiments also relate to predicting and recognizing brain attack in real-time by acquiring and integrating health data from one or more data streams, interfacing with one or more providers so that they can propose and/or effect one or more effective interventions, and communicating with an affected individual, providers, and/or caregivers.

Abstract: Embodiments herein relate to biosensors and other elements combined in real-time for health applications that acquire health data of an individual from one or more data streams by a first element and integrate these data through a second element that is configured to predict and/or recognize an interruptive health event and then via one or more successive elements alert one or more providers of a possible interruptive health event, enable the providers to propose one or more effective interventions, communicate directly with the individual and providers and/or caregivers, and/or provide confirmation in the event that effective interventions were made. Embodiments also relate to predicting and recognizing brain attack in real-time by acquiring and integrating health data from one or more data streams, interfacing with one or more providers so that they can propose and/or effect one or more effective interventions, and communicating with an affected individual, providers, and/or caregivers.

Abstract: An online system acts as a centralized, trusted intermediary in managing subscription products that a user of the online system has subscribed to. For example, a user may subscribe to receive a product from a variety of different third party systems. The user of the online system provides payment information and authorization information to the online system which stores them in association with a user profile belonging to the user of the online system. When a payment is required for a subscription product, the online system retrieves the payment information and verifies that the online system is authorized to provide a payment. Once verified, the online system provides a payment on behalf of the user to the third party system in exchange for provision of the subscription product to the user.

Abstract: A method is disclosed which includes: receiving, from a third-party content provider, a link to a structured document on an external server, where the link is associated with a post of the online social network by the third-party content provider, and retrieving the structured document from the external server, where the structured document includes content and input fields.. This step is followed by extracting a predefined set of information from the structured document about the content and input fields of the structured document. The extracted set of information from the structured document are then evaluated to determine one or more feature-values of the structured document. A machine learning model is used to classify the structured document as an external lead-generation type page based on the one or more feature-values of the structured document and a notification is sent to the third-party content provider if the structured document is classified as an external lead-generation type page.

Abstract: A system for sharing moment experiences is described. A system receives moment data from an input to a mobile device. The system receives geographic location information, time information, and contextual information that is local to the mobile device. The system creates a message about the moment data based on the geographic location information, the time information, and the contextual information. The system outputs the moment data with the message.

Abstract: A system for capturing intent while recording moment experiences is described. A system receives a notice to record moment data via a mobile device. The system outputs a pictogram set, from multiple pictogram sets, based on contextual information associated with the notice. The system receives a selection of a pictogram from the pictogram set. The system records the moment data. The system outputs the moment data with the selected pictogram.

Abstract: A system for sharing moment experiences is described. A system receives moment data from an input to a mobile device. The system receives geographic location information, time information, and contextual information that is local to the mobile device. The system creates a message about the moment data based on the geographic location information, the time information, and the contextual information. The system outputs the moment data with the message.

Abstract: Architecture and its implementation of an event-based media management system and method are disclosed. A generic model for events is used for developing architecture for media management, called Eventcentric Media Management (EMMa) system. The system focuses on event experiences and provides flexible functionality for media management. The system and method analyze cross-media files for features to extract atomic events and apply algorithms to cluster files including similar or related features. Thus, the EMMa system allows unified media indexing of multiple media types, better abstraction of the real world, use of context, media processing operations to compute and store features and tags, and a more intuitive support for multiple users. It provides environments for querying and browsing media related to events and authoring of multimedia presentations for sharing with other individuals.

Abstract: A method of classifying and organizing digital images utilizing optical metadata (captured using multiple sensors on the camera) may define semantically coherent image classes or annotations. The method defines optical parameters based on the physics of vision and operation of a camera to cluster related images for future search and retrieval. An image database constructed using photos taken by at least thirty different users over a six year period on four different continents was tested using algorithms to construct a hierarchal clustering model to cluster related images. Additionally, a survey about the most frequent image classes shot by common people forms a baseline model for automatic annotation of images for search and retrieval by query keyword.

Abstract: Architecture and its implementation of an event-based media management system and method are disclosed. A generic model for events is used for developing architecture for media management, called Eventcentric Media Management (EMMa) system. The system focuses on event experiences and provides flexible functionality for media management. The system and method analyze cross-media files for features to extract atomic events and apply algorithms to cluster files including similar or related features. Thus, the EMMa system allows unified media indexing of multiple media types, better abstraction of the real world, use of context, media processing operations to compute and store features and tags, and a more intuitive support for multiple users. It provides environments for querying and browsing media related to events and authoring of multimedia presentations for sharing with other individuals.

Abstract: A method of classifying and organizing digital images utilizing optical metadata (captured using multiple sensors on the camera) may define semantically coherent image classes or annotations. The method defines optical parameters based on the physics of vision and operation of a camera to cluster related images for future search and retrieval. An image database constructed using photos taken by at least thirty different users over a six year period on four different continents was tested using algorithms to construct a hierarchal clustering model to cluster related images. Additionally, a survey about the most frequent image classes shot by common people forms a baseline model for automatic annotation of images for search and retrieval by query keyword.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video. In one embodiment, the video is cataloged concurrently with encoding of the video.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video. In another aspect of the invention, video metadata track processors convert metadata tracks of the video information to produce displayable frames containing hyperlinking between displayable data. Another aspect of the invention is directed to a method of browsing stored video information, including displaying hyperlinked frames of metadata track representations, and selecting and displaying links between displayable frames.