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US Patent 10546246 Enhanced kernel representation for processing multimodal data

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
105462460
Patent Inventor Names
Pavel Kisilev0
Eli A. Meirom0
Date of Patent
January 28, 2020
0
Patent Application Number
148578590
Date Filed
September 18, 2015
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Patent Citations Received
‌
US Patent 10956825 Distributable event prediction and machine learning recognition system
Patent Primary Examiner
‌
Scott A. Waldron
0
Patent abstract

A computer-implemented method includes receiving multimodal data. The computer-implemented method further includes generating one or more kernel matrices from the multimodal data. The computer-implemented method further includes generating an equivalent kernel matrix using one or more coefficient matrices, wherein the one or more coefficient matrices are constrained by a nuclear norm. The computer-implemented method further includes initiating one or more iterative processes. Each of the one or more iterative processes includes: calculating an error for the one or more coefficient matrices of the equivalent kernel matrix based on a training set, and initiating a line search for the one or more coefficient matrices of the equivalent kernel matrix. The computer-implemented method further includes, responsive to generating an optimal coefficient matrix, terminating the one or more iterative processes. The method may be embodied in a corresponding computer system or computer program product.

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