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.

Date of Patent:
Jul. 09, 2024

Filed:

Aug. 24, 2020
Applicant:

Kabushiki Kaisha Toshiba, Minato-ku, JP;

Inventors:

Yaling Tao, Kawasaki, JP;

Kentaro Takagi, Yokohama, JP;

Kouta Nakata, Shinagawa, JP;

Assignee:

KABUSHIKI KAISHA TOSHIBA, Minato-ku, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06F 18/21 (2023.01); G06F 18/2321 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06V 10/70 (2022.01); G06V 10/762 (2022.01);
U.S. Cl.
CPC ...
G06V 10/763 (2022.01); G06F 18/2193 (2023.01); G06F 18/2321 (2023.01); G06F 18/24155 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01);
Abstract

According to an embodiment, a learning device includes one or more processors. The processors calculate a latent vector of each of a plurality of first target data, by using a parameter of a learning model configured to output a latent vector indicating a feature of a target data. The processors calculate, for each first target data, first probabilities that the first target data belongs to virtual classes on an assumption that the plurality of first target data belong to the virtual classes different from each other. The processors update the parameter such that a first loss of the first probabilities, and a second loss that is lower as, for each of element classes to which a plurality of elements included in each of the plurality of first target data belong, a relation with another element class is lower, become lower.


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