Invention Grant
- Patent Title: Perceptual associative memory for a neuro-linguistic behavior recognition system
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Application No.: US14569161Application Date: 2014-12-12
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Publication No.: US10409910B2Publication Date: 2019-09-10
- Inventor: Ming-Jung Seow , Gang Xu , Tao Yang , Wesley Kenneth Cobb
- Applicant: Omni AI, Inc.
- Applicant Address: US TX Houston
- Assignee: Omni AI, Inc.
- Current Assignee: Omni AI, Inc.
- Current Assignee Address: US TX Houston
- Main IPC: G06F17/21
- IPC: G06F17/21 ; G06F17/27 ; G10L15/00 ; G10L15/06 ; G06F17/28

Abstract:
Techniques are disclosed for generating a syntax for a neuro-linguistic model of input data obtained from one or more sources. A stream of words of a dictionary built from a sequence of symbols are received. The symbols are generated from an ordered stream of normalized vectors generated from input data. Statistics for combinations of words co-occurring in the stream are evaluated. The statistics includes a frequency upon which the combinations of words co-occur. A model of combinations of words based on the evaluated statistics is updated. The model identifies statistically relevant words. A connected graph is generated. Each node in the connected graph represents one of the words in the stream. Edges connecting the nodes represent a probabilistic relationship between words in the stream. Phrases are identified based on the connected graph.
Public/Granted literature
- US20160170961A1 PERCEPTUAL ASSOCIATIVE MEMORY FOR A NEURO-LINGUISTIC BEHAVIOR RECOGNITION SYSTEM Public/Granted day:2016-06-16
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