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:
Jan. 21, 2020

Filed:

Dec. 21, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Ali Madani, Oakland, CA (US);

Mehdi Moradi, San Jose, CA (US);

Tanveer F. Syeda-Mahmood, Cupertino, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/36 (2006.01); G06K 9/66 (2006.01); G06K 9/62 (2006.01); G16H 30/20 (2018.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/66 (2013.01); G06K 9/6267 (2013.01); G06N 3/08 (2013.01); G16H 30/20 (2018.01);
Abstract

Mechanisms are provided to implement a generative adversarial network (GAN) that is trained based on labeled image data, unlabeled image data, and generated image data generated by a generator of the GAN. The GAN comprises a loss function that comprises error components for each of the labeled image data, unlabeled image data, and generated image data which is used to train the GAN. A new data source for which the trained GAN is to be adapted is identified and the trained GAN is adapted for the new data source. Image data in the new data source is classified by applying the adapted GAN to the data in the new data source. Adapting the trained GAN includes obtaining a minimized set of labeled images and utilizing the minimized set of images to perform the adapting of the trained GAN.


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