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. 16, 2024

Filed:

Dec. 14, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Xiang Wu, Piscataway, NJ (US);

David Simcha, Jersey City, NJ (US);

Daniel Holtmann-Rice, New York, NY (US);

Sanjiv Kumar, Jericho, NY (US);

Ananda Theertha Suresh, New York, NY (US);

Ruiqi Guo, Elmhurst, NY (US);

Xinnan Yu, Forest Hills, NY (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 16/31 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3347 (2019.01); G06F 16/313 (2019.01); G06F 16/319 (2019.01); G06N 20/00 (2019.01);
Abstract

The present disclosure provides systems and methods that include or otherwise leverage use of a multiscale quantization model that is configured to provide a quantized dataset. In particular, the multiscale quantization model can receive and perform vector quantization of a first dataset. The multiscale quantization model can generate a residual dataset based at least in part on a result of the vector quantization. The multiscale quantization model can apply a rotation matrix to the residual dataset to generate a rotated residual dataset that includes a plurality of rotated residuals. The multiscale quantization model can perform reparameterization of each rotated residual in the rotated residual dataset into a direction component and a scale component. The multiscale quantization model can perform product quantization of the direction components of the plurality of rotated residuals, and perform scalar quantization of the scale components of the plurality of rotated residuals.


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