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.

Patent No.:

US 9864930 B1

PDF
Full Text
Expired
Date of Patent:
Jan. 09, 2018

Filed:

Feb. 05, 2016
Applicant:

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

Inventors:

Aaron J. Chavez, Denver, CO (US);

Devin R. Harper, Denver, CO (US);

Nicholas A. Lineback, Alameda, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6218 (2013.01); G06K 9/6215 (2013.01); G06K 9/6228 (2013.01); G06K 9/6255 (2013.01);
Abstract

An approach is provided in which a knowledge manager locates centroids in a high-dimensional vector space that are closest to a new image feature set and performs nearest neighbor searches on feature sets included in clusters corresponding to the located centroids. The knowledge manager then selects feature sets closest to the new image feature set based on the nearest neighbor searches and in turn, marks images corresponding to the selected closest features sets as similar images to a new image corresponding to the new image feature set.


Find Patent Forward Citations

Chavez, Aaron. (2018). Clustering technique for optimized search over high-dimensional space (U.S. Patent No. 9864930). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/9864930

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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