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. 04, 2023

Filed:

Mar. 12, 2021
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Pablo Nascimento da Silva, Niterói, BR;

Hugo de Oliveira Barbalho, Rio de Janeiro, BR;

Assignee:

EMC IP HOLDING COMPANY LLC, Hopkinton, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 18/214 (2023.01); G06F 16/55 (2019.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06F 18/24 (2023.01); G06F 18/21 (2023.01); G06F 16/65 (2019.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06F 16/55 (2019.01); G06F 16/65 (2019.01); G06F 18/2163 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 20/56 (2022.01);
Abstract

A method includes obtaining, by a local data system manager of a local data system of the local data systems, a portion of unlabeled data from a local data source, performing, using a domain classifier in the local data system manager, a domain classification analysis on the portion of the unlabeled data to identify a domain of the unlabeled data, making a first determination, based on the domain classification, that the domain classification has significantly varied from a previous domain, based on the first determination: performing an adaptive procedure on a local data system image segmentation model to obtain an adapted image segmentation model, and performing a domain reclassification on the domain classifier to obtain an updated domain classifier, and implementing the adapted image segmentation model on the local data system.


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