Microsoft Technology Licensing, LLC

Yuzhe Jin

Jie Jerry Liu

Edward Hart

Kuansan Wang

Nissanka Arachchige Bodhi Priyantha

Emre Mehmet Kiciman

Gerald Reuben DeJean

Nissanka Bodhi Priyantha

S M Shahriar Nirjon

Ted Hart

Amanda Souza De Paula

Jie Liu

Ted C Hart

Gerald R Dejean

Some implementations provide low power reduced sampling of global positioning system (GPS) locations. A server may be configured to assist a mobile device in determining a location from a plurality of GPS signal samples and corresponding time stamps provided by the mobile device, such as by identifying a set of possible reference locations, which may be used to calculate a location of the mobile device. In another example, the mobile device may sample GPS signals using a GPS receiver, compress the samples, and provide the compressed samples to the server for processing.

Reduced sampling low power GPS

Some implementations provide low power reduced sampling of global positioning system (GPS) locations. A server may be configured to assist a mobile device in determining a location from a plurality of small GPS signal chunks and corresponding time stamps. For instance, the server may identify a set of satellites from each of the GPS signal chunks and by comparing the set of satellites for each of the GPS signal chunks to each other to determine a second set of satellites. The server may then estimate a location of the mobile based on the second set of satellites.

Cloud-offloaded global satellite positioning

The effective use of weak GPS signals that are present in various environments enables an electronic device to pinpoint its location in such environments. The electronic device uses an antenna to perform sequential scanning in multiple directions for global positioning system (GPS) signals. The electronic device further analyzes GPS signals obtained from scanning the multiple directions to determine a number of acquired GPS satellites that provided the GPS signals. The GPS signals include code phases of the acquired GPS satellites. The electronic device then computes a location of the electronic device based on the code phases of the acquired GPS satellites when the number of acquired GPS satellites meets a threshold.

High-sensitivity GPS device with directional antenna

Various technologies described herein pertain to disambiguation of a mention of an ambiguous entity in a document. A set of candidate entities can be retrieved from an entity knowledge base based upon the mention of the ambiguous entity, where each of the candidate entities has a respective entity feature representation. Moreover, a document feature representation can be generated based upon features of the document and the respective entity feature representations of the candidate entities. A processor can be caused to select a subset of features from the document feature representation based upon a measure of how discriminative the features from the document feature representation are for disambiguating the mention of the ambiguous entity. A disambiguated result for the mention of the ambiguous entity can be determined based upon the subset of the features. The disambiguated result can be an unknown entity or one of the candidate entities.

Posterior probability pursuit for entity disambiguation

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Yuzhe Jin