Kirk Dunkelberger - Fort Wayne IN, US Eva-Marie Proszkow - Silver Spring MD, US Jason S. Byassee - Highlands Ranch CO, US Keith E. Mathias - Parker CO, US Earl C. Pilloud - Parker CO, US Daniel A. Pier - Englewood CO, US
Assignee:
Northrop Grumman Systems Corporation - Falls Church VA
International Classification:
G06F 17/30
US Classification:
707743, 707736
Abstract:
Systems and methods are provided for retrieving data relevant to a subject of interest. Occurrences of each of a plurality of n-grams within the data record are identified. A multinomial distribution is defined from the respective numbers of occurrence of a subset of the plurality of n-grams. The multinomial distribution is stored in a semantic model as a point on an information manifold. The semantic model is configured to represent an indexed family of probability distributions as points on the information manifold. It is determined if the data record is relevant to the subject of interest according to the position of the point on the information manifold, and the data record is retrieved if the data record is relevant to the subject of interest.
Networked System Including A Recognition Engine For Identifying Products Within An Image Captured Using A Terminal Device
- Denver CO, US Samantha Holloway - Denver CO, US Joseph Alfano - Denver CO, US Daniel Augustus Pier - Denver CO, US Goran Matko Rauker - Denver CO, US
A method of capturing and providing, with a mobile device, images of retail products for analysis by a remote image analysis engine applying one or more machine learning models, may include, at a mobile device comprising a processor, a memory, a display, and an integrated camera, prompting a user to capture an image of an array of physical items, capturing the image with the integrated camera, and sending the captured image to a remote server. The method may further include receiving an image annotation data set defining an array of segments, each segment corresponding to a physical item in the array of physical items and having an associated product information, a given associated product information determined using a trained product model that identifies a product identifier based on a portion of the image that corresponds to a given segment of the image.
- Carlsbad CA, US Dustin CANDLAND - Centennial CO, US Daniel PIER - Englewood CO, US
Assignee:
Verve Wireless, Inc. - Carlsbad CA
International Classification:
G01S 1/68 H04W 12/02 H04W 4/80
Abstract:
The present disclosure is directed to systems and methods that include a beacon that includes an antenna; data storage configured to store a code that is calculated according to an algorithm and based on a first variable, the first variable being defined according to a first interval of time; and a processor configured to cause the code to be emitted by the beacon.
- Denver CO, US Dustin CANDLAND - Centennial CO, US Daniel PIER - Englewood CO, US
Assignee:
ROXIMITY, INC. - Denver CO
International Classification:
G01S 1/68
Abstract:
The present disclosure is directed to systems and methods that include a beacon that includes an antenna; data storage configured to store a code that is calculated according to an algorithm and based on a first variable, the first variable being defined according to a first interval of time; and a processor configured to cause the code to be emitted by the beacon.
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