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US Patent 10388009 Machine-learning measurements of quantitative feature attributes

Patent 10388009 was granted and assigned to Cogniac on August, 2019 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Cogniac
Cogniac
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Current Assignee
Cogniac
Cogniac
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103880090
Patent Inventor Names
Sandip C. Patel0
Huayan Wang0
William S Kish0
Yui Ming Tsang0
Date of Patent
August 20, 2019
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Patent Application Number
159908090
Date Filed
May 28, 2018
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Patent Citations Received
0
Patent Primary Examiner
‌
Li Liu
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Patent abstract

A computer system may train and use a machine-learning model to quantitatively analyze an image. In particular, the computer system may generate the machine-learning model based on a set of reference images that include content with instances of a quantitative feature attribute and one or more feedback metrics that specify locations of the instances of the quantitative feature attribute in the reference images and numerical values associated with the instances of the quantitative feature attribute. Then, after receiving the image from an electronic device, the computer system may analyze the image using the machine-learning model to perform measurements of one or more additional instances of the quantitative feature attribute in the image. Moreover, the computer system may provide a measurement result for the image, the measurement result including a second numerical value associated with the one or more additional instances of the quantitative feature attribute in the image.

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