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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11842283 B1

PDFFull Text
Date of Patent:
Dec. 12, 2023

Filed:

Jun. 15, 2020

Learning method, computer program, classifier, generator, and processing system

Applicant:

Axell Corporation, Tokyo, JP;

Inventor:

Shuji Okuno, Nara, JP;

Assignee:

AXELL CORPORATION, Tokyo, JP;

Attorneys:

MASUVALLEY & PARTNERS

Peter Martinez

Primary Examiner:

John W Lee

Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06N 3/088 (2023.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);
Abstract

A learning method, a learning model, a classifier, a generator, and a processing system are provided, which consider human vision in learning using a machine learning model for an image. The learning method learns a machine learning model that inputs or outputs image data with data for learning that includes both or either one of image data in which a component that is difficult to judge visually is left out and image data in which a noise component that is difficult to judge visually is added at a predetermined ratio.

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Okuno, Shuji. (2023). Learning method, computer program, classifier, generator, and processing system (U.S. Patent No. 11842283). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11842283

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