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US Patent 10331967 Machine learning via a two-dimensional symbol

Patent 10331967 was granted and assigned to Gyrfalcon Technology on June, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Gyrfalcon Technology
Gyrfalcon Technology
0
Current Assignee
Gyrfalcon Technology
Gyrfalcon Technology
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103319670
Patent Inventor Names
Lin Yang0
Baohua Sun0
Date of Patent
June 25, 2019
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Patent Application Number
162107590
Date Filed
December 5, 2018
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Patent Citations
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US Patent 10083171 Natural language processing using a CNN based integrated circuit
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US Patent 10169684 Methods and systems for recognizing objects based on one or more stored training images
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US Patent 10198648 Decoding 1D-barcodes in digital capture systems
Patent Citations Received
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US Patent 11531815 Information processing apparatus and non-transitory computer readable medium storing program
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US Patent 10445568 Two-dimensional symbol for facilitating machine learning of combined meaning of multiple ideograms contained therein
Patent Primary Examiner
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Andrae S Allison
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Patent abstract

Methods of facilitating machine learning via a 2-D symbol are disclosed. Features of an object are received in a first computing system having a 2-D symbol creation application module installed thereon. A multi-layer 2-D symbol is formed from the features according to a set of symbol creation rules. 2-D symbol is a matrix of N×N pixels partitioned into a number of sub-matrices with each sub-matrix containing one feature, where N is a positive integer. Meaning of the combined features in the 2-D symbol is learned in a second computing system by using an image processing technique to classify the 2-D symbol transmitted from the first computing system. The symbol creation rules determine the importance order, size and location of sub-matrices in the 2-D symbol.

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