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:
Feb. 12, 2019

Filed:

Feb. 29, 2016
Applicants:

Christopher J. Hillar, San Francisco, CA (US);

Kilian Koepsell, San Francisco, CA (US);

Ram Mehta, Brooklyn, NY (US);

Jascha Sohl-dickstein, San Francisco, CA (US);

Inventors:

Christopher J. Hillar, San Francisco, CA (US);

Kilian Koepsell, San Francisco, CA (US);

Ram Mehta, Brooklyn, NY (US);

Jascha Sohl-Dickstein, San Francisco, CA (US);

Assignee:

EMERSYS, INC., San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/36 (2006.01); G06K 9/03 (2006.01); G06K 9/68 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6247 (2013.01);
Abstract

An invention based on learning a discrete recurrent neural network for a given signal domain is described. In one implementation to the domain of visual images, the method can be used to efficiently compress digital photographs and to devise a new perceptual distortion measure between images that well-matches data collected from a human psychophysics experiment. Other applications of the invention include unsupervised detection of recurrent patterns in high-dimensional data and Shannon-optimal error-correcting coding from few training examples.


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