Embodiments are disclosed for using an improved locality sensitive hashing (LSH) operation for the K-means clustering algorithm. In some embodiments, parameters of an LSH function are optimized with respect to a new cost model. In other embodiments, an LSH operation is applied with optimized parameters to a K-means clustering algorithm.

Methods, systems, and apparatus for receiving a query image and a user tap location, processing the received query image based on the user tap location, identifying one or more entities associated with the processed query image and in response to receiving (i) the query image, and (ii) the user tap location, providing information about the identified one or more of the entities.

A data management device, communication system and methods for tagging data in a data table and triggering automated action. A data management device receives from a first data provider one or more records of a data table, each record comprising a plurality of fields. The data table is associated with an account having one or more authorized users. The plurality of fields each has a value set by the first data provider. The data manger determines one or more tags for the one or more records in accordance with a plurality of autotagging rules. The data manger appends the one or more records to include one or more tag fields corresponding to the one or more tags for the one or more records. The appended records are stored in a database. One or more automated actions may be triggered based on one or more tag fields of one or more of the plurality of records.

A method and system for providing a data analysis in the form of a customized geographic visualization on a graphical user interface (GUI) on a remote client computing device using only a web browser on the remote client device. The system receives a user's selected data analysis to be performed by the system for display on the remote client device. The system verifies the data access permissions of the user to render a data analysis solution customized to that particular user, and automatically prevents that user from gaining access to data analysis solutions to which that user is prohibited. The system is configured to respond to the user's data analysis request, perform the necessary computations on the server side on the fly, and send a dataset interpretable by the client device's web browser for display on the client device or on a device associated with the client device.

The present method of controlling an image processing device consists in transmitting data such that it can be reproduced on image processing devices of other users. An image signal is produced using an image generator and an image is displayed using a display, then data about the received image is obtained and additional information is linked to the data about the received image. The transmission of data constitutes the transmission of additional information linked to data about a received image, said information being transmitted to a server via the Internet. The additional information is displayed provided that the data obtained about the received image coincides with the data about the received image on other devices for processing the image with respect to which additional information has been generated, which, in turn, has been linked to the image. The additional information received from other users can include geo-position information.

Aspects and examples disclosed herein are directed to data enrichment on insulated appliances. An appliance for performing knowledge mining in a disconnected state is operative to: import a plurality of containerized cognitive functions and a seed index from a service node, when the appliance is initially connected to a network; ingest data of a first type from a first data source coupled to the appliance; enrich at least a first portion of the ingested data, when in the disconnected state, with at least one of the cognitive functions of the plurality of containerized cognitive functions; identify at least a second portion of the ingested data for enrichment by a cognitive function that is not within the plurality of containerized cognitive functions; based at least on knowledge extracted from the enriched data, further enrich the enriched data; and grow the seed index into an enhanced index with the enriched data.

Aspects and examples disclosed herein are directed to data enrichment on insulated appliances. An appliance for performing knowledge mining in a disconnected state is operative to: ingest data of a first type from a first data source coupled to the appliance; enrich at least a first portion of the ingested data, when in the disconnected state, with at least one of the cognitive functions of the plurality of containerized cognitive functions; identify at least a second portion of the ingested data for enrichment by a cognitive function that is not within the plurality of containerized cognitive functions; store the enriched data in an index; triage the ingested data and the enriched data in the index for uploading; upload the triaged data when reconnected to a network; and import an updated plurality of containerized cognitive functions when reconnected.

An intelligent disaster prevention system and an intelligent disaster prevention method are provided. The intelligent disaster prevention system includes a server and an electronic device coupled to the server. The server detects the electronic device in a disaster area and obtains a location information of the electronic device. The server obtains real-time disaster information from a website. The server obtains a real-time aerial image corresponding to the disaster area. The server selects a first refuge from a plurality of refuges corresponding to the disaster area according to the location information, the real-time disaster information, and the real-time aerial image, and calculates an evacuation route from the location information to the first refuge. The electronic device receives the first refuge and the evacuation route, and displays the first refuge and the evacuation route on a map.

Provided are techniques for enhancing images with emotion information, comprising capturing a plurality of images; identifying an individual in the plurality of images; analyzing the plurality of images for emotional content; converting the emotional content into emotion metadata; correlating the emotional content with the individual to produce associated emotion metadata; and storing the associated emotion metadata in conjunction with the captured image in a computer-readable storage medium. The disclosed techniques may also include capturing physiological data corresponding to an individual that captures the image; analyzing the physiological data for a second emotional content; converting the second emotional content into a second emotion metadata; storing the second emotion metadata in conjunction with the captured image in the computer-readable storage medium.

Provided are techniques for enhancing images with emotion information, comprising capturing a plurality of images; identifying an individual in the plurality of images; analyzing the plurality of images for emotional content; converting the emotional content into emotion metadata; correlating the emotional content with the individual to produce associated emotion metadata; and storing the associated emotion metadata in conjunction with the captured image in a computer-readable storage medium. The disclosed techniques may also include capturing physiological data corresponding to an individual that captures the image; analyzing the physiological data for a second emotional content; converting the second emotional content into a second emotion metadata; storing the second emotion metadata in conjunction with the captured image in the computer-readable storage medium.