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:
Dec. 10, 2019

Filed:

Jul. 20, 2017
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Yadong Mu, Middletown, NJ (US);

Zhu Liu, Marlboro, NJ (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/66 (2006.01); G06N 3/04 (2006.01); G06F 16/51 (2019.01); G06F 16/28 (2019.01); G06F 16/583 (2019.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/66 (2013.01); G06F 16/285 (2019.01); G06F 16/51 (2019.01); G06F 16/5838 (2019.01); G06K 9/6217 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01);
Abstract

A method for classifying images using a neural network is described. The method utilizes the neural network to generate a deep hash data structure. In one embodiment, the method includes receiving, at a neural network, first data corresponding to a plurality of images of a training image set. The method includes adjusting parameters of the neural network based on concurrent application at the neural network of multiple loss functions to second data corresponding to the plurality of images to generate adjusted parameters. The method includes generating a deep hash data structure based on the adjusted parameters of the neural network. The method further includes sending, via a transmitter to a device, third data corresponding to the deep hash data structure.


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