Abstract: Aspects of the present invention disclose a method for a distance-based vector classification in anomaly detection. The method includes one or more processors identifying one or more audio communications from a first user to a second user, wherein the one or more audio communications is transmitted utilizing a first computing device. The method further includes determining an objective of the first user based at least in part on the audio communication of the first user. The method further includes determining a set of conditions corresponding to the one or more audio communications and the objective, wherein the set of conditions indicate a vulnerability of personal data of the first user. The method further includes prohibiting the first computing device from transmitting audio data that includes the personal data of the first user.

Abstract: A generation apparatus that generates a mapping between individual properties included in an object in a program and individual elements of a structured document. The generation apparatus includes: an object tree generation unit that generates a tree structure representing hierarchical structure of the object by assigning the individual properties included in the object to nodes of the tree structure; and a selection unit that selects a mapping minimizing conversion cost of converting the tree structure of the object to a tree structure that includes the individual elements of the structured document as its nodes. The selection is from mappings that associate the individual properties included in the object with the individual elements of the structured document.

Abstract: In an approach, a processor trains a model, via a reinforcement learning process, to produce a first action function for relating states of a natural language based response environment to actions applicable to the natural language based response environment.

Abstract: A generation apparatus that generates a mapping between individual properties included in an object in a program and individual elements of a structured document. The generation apparatus includes: an object tree generation unit that generates a tree structure representing hierarchical structure of the object by assigning the individual properties included in the object to nodes of the tree structure; and a selection unit that selects a mapping minimizing conversion cost of converting the tree structure of the object to a tree structure that includes the individual elements of the structured document as its nodes. The selection is from mappings that associate the individual properties included in the object with the individual elements of the structured document.

Abstract: A server computer is connected to a plurality of client computers through a network, and controls objects in a Metaverse accessed by the client computers. The server computer includes a storage unit for storing an object ID specifying an object accessible in the Metaverse by the plurality of client computers and authenticity information associated with the object ID. The authenticity information indicates that the object is genuine. The server computer also includes a communication unit for communicating with each of the client computers. The server computer also includes an enquiry unit for causing the communication unit to transmit the authenticity information corresponding to the object ID to at least one of the plurality of client computers upon receipt of an enquiry request to enquire about the object ID of the object from one of the plurality of client computers.

Abstract: A server computer is connected to a plurality of client computers through a network, and controls objects in a Metaverse accessed by the client computers. The server computer includes a storage unit for storing an object ID specifying an object accessible in the Metaverse by the plurality of client computers and authenticity information associated with the object ID. The authenticity information indicates that the object is genuine. The server computer also includes a communication unit for communicating with each of the client computers. The server computer also includes an enquiry unit for causing the communication unit to transmit the authenticity information corresponding to the object ID to at least one of the plurality of client computers upon receipt of an enquiry request to enquire about the object ID of the object from one of the plurality of client computers.

Abstract: A method is provided for detecting a higher-level action from one or more trajectories of real states. The trajectories are based on an experts' action demonstration. The method trains predictors to predict future states. Each predictor has a different duration of the higher-level action to be detected. The method predicts, using the predictors, the future states using past ones of the real states in the one or more trajectories as inputs for the predictors. The method determines if a match exists between any of the future states relative to a real future state with a corresponding same duration from the one or more trajectories. The method outputs a pair that includes the matching one of the future states as a prediction input and the real future state with the corresponding same duration from the one or more trajectories as the higher-level action corresponding thereto, responsive to the match existing.

Abstract: The disclosure provides systems and methods for detecting, characterizing, and predicting moving traffic obstacles. The systems and methods are suitable for densely populated areas in resource-constrained regions. With the characterizations and predictions of moving traffic obstacles, a variety of benefits can accrue to individuals and devices that use traffic information.

Abstract: A visual localization support system is provided. The visual localization support system includes one or more guidance indicators place on a road surface of a roadway, wherein the one or more guidance indicators each include a matrix barcode that uniquely identifies a location by latitude, longitude, and altitude, and describes an affine shape of the guidance indicator.

Abstract: Methods and systems for estimating a probability of re-sharing information include extracting keywords from a set of documents addressed to a user. The keywords from the set of documents are weighted according a metric for the user's interest in the keywords' respective source documents to create an interest model. A new document having one or more keywords is received. A likelihood that the user will re-share the new document is determined. The likelihood is based on the interest model and the one or more keywords present in the new document. The new document is automatically responded to based on the determined likelihood.

Abstract: A system and method to estimate a location relating to a user who has not filled in information about the location in a profile field in social media such as a microblog. The system and method estimates association between a user in social media and a location includes the steps of acquiring a first content posted to the social media by a first user associated with a first location, determines regional localization of the first content on the basis of the first location, acquires a second content posted to the social media by a second user not associated with a location, determine the degree of a relationship between the first content and the second content, and associating the first location with the second user on the basis of the localization and the degree of the relationship.

Abstract: Herein is disclosed methods and systems for automated route analysis and recommendation of preferred routes. Recommended routes may be vehicle specific, and custom-selected based on historical data and weighting factors such as road roughness and traversal time.

Abstract: The disclosure provides systems and methods for detecting, characterizing, and predicting moving traffic obstacles. The systems and methods are suitable for densely populated areas in resource-constrained regions. With the characterizations and predictions of moving traffic obstacles, a variety of benefits can accrue to individuals and devices that use traffic information.

Abstract: In various embodiments, the invention involves methods and systems suitable for roadway monitoring, mapping, and maintenance. The probability of a road distress is calculated by combining various sources of data, and automatic alerts are generated to request mobilization of a road repair resource. Various methods are included to increase the accuracy of the probability calculations.

Abstract: A method of holding information for identifying a cause for an object becoming problematic and presenting the information to a user. The method ascertains the cause of memory consumption by a program in a computer system. This method includes: acquiring a first call path related to the creation of an object from a memory; acquiring a second call path related to the connection to the object from the memory; and determining a common part of the acquired first and second call paths, wherein the common part indicates the cause in the program.

Abstract: A dialog server which provides dialogs made by at least one user through their respective avatars in a virtual space. A method and a computer readable article of manufacture tangibly embodying computer readable instructions for executing the steps of the method are also provided. The dialog server includes: a position storage unit which stores positional information on the avatars; an utterance receiver which receives at least one utterance of avatars and utterance strength representing an importance or attention level of the utterance; an interest level calculator which calculates interest levels between avatars based on their positional information; a message processor which generates a message based on the utterance in accordance with a value calculated from the interest levels and the utterance strength; and a message transmitter which transmits the message to the avatars.

Abstract: A system and method to estimate a location relating to a user who has not filled in information about the location in a profile field in social media such as a microblog. The system and method estimates association between a user in social media and a location includes the steps of acquiring a first content posted to the social media by a first user associated with a first location, determines regional localization of the first content on the basis of the first location, acquires a second content posted to the social media by a second user not associated with a location, determine the degree of a relationship between the first content and the second content, and associating the first location with the second user on the basis of the localization and the degree of the relationship.

Abstract: The disclosure provides systems and methods for detecting, characterizing, and predicting moving traffic obstacles. The systems and methods are suitable for densely populated areas in resource-constrained regions. With the characterizations and predictions of moving traffic obstacles, a variety of benefits can accrue to individuals and devices that use traffic information.

Abstract: The disclosure provides electronic systems and methods for monitoring and improving driver behaviour. Driver maneuver data is obtained and used along with contextual data in order to determine enhanced estimates of driver and route riskiness. The output of the determination can be used by a variety of users including insurance providers.

Abstract: A system and method to estimate a location relating to a user who has not filled in information about the location in a profile field in social media such as a microblog. The system and method estimates association between a user in social media and a location includes the steps of acquiring a first content posted to the social media by a first user associated with a first location, determines regional localization of the first content on the basis of the first location, acquires a second content posted to the social media by a second user not associated with a location, determine the degree of a relationship between the first content and the second content, and associating the first location with the second user on the basis of the localization and the degree of the relationship.