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:
Oct. 20, 2020

Filed:

Dec. 03, 2015
Applicant:

Hewlett Packard Enterprise Development Lp, Houston, TX (US);

Inventors:

Hongwei Shang, Palo Alto, CA (US);

Mehran Kafai, Palo Alto, CA (US);

Kave Eshghi, Palo Alto, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06K 9/62 (2006.01); G06F 17/10 (2006.01); H03M 7/30 (2006.01); G06F 16/901 (2019.01); G06F 16/904 (2019.01);
U.S. Cl.
CPC ...
G06K 9/623 (2013.01); G06F 16/00 (2019.01); G06F 16/901 (2019.01); G06F 16/904 (2019.01); G06F 16/9024 (2019.01); G06F 17/10 (2013.01); G06K 9/6215 (2013.01); G06K 9/6265 (2013.01); G06K 9/6276 (2013.01); H03M 7/30 (2013.01);
Abstract

Incremental automatic update of ranked neighbor lists based on k-th nearest neighbors is disclosed. One example is a system including an indexing module to retrieve an incoming data stream, and retrieve ranked neighbor lists for received data objects. An evaluator determines similarity measures between the received data objects and their respective k-th nearest neighbors. A threshold determination module determines a statistical distribution based on the determined similarity measures, and a threshold based on the statistical distribution. The evaluator determines additional similarity measures between a new data object in the data stream and the received data objects. A neighbor update module automatically selects a sub-plurality of the received data objects by comparing the additional similarity measures to the threshold, and determines, for each selected data object, if the respective retrieved neighbor list is to be incrementally updated based on neighborhood comparisons for the new data object and the selected data object.


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