Invention Grant
- Patent Title: Multi-distance similarity analysis with tri-point arbitration
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Application No.: US16059336Application Date: 2018-08-09
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Publication No.: US11409770B2Publication Date: 2022-08-09
- Inventor: Aleksey M. Urmanov , Alan Paul Wood , Anton A. Bougaev
- Applicant: ORACLE INTERNATIONAL CORPORATION
- Applicant Address: US CA Redwood Shores
- Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee Address: US CA Redwood Shores
- Agency: Kraguljac Law Group, LLC
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/28 ; G06F17/15 ; G06F17/16 ; G06N20/00 ; G06K9/00 ; G06F17/10 ; G06K9/62 ; G06F16/29 ; G06N5/02

Abstract:
Systems, methods, and other embodiments associated with multi-distance tri-point arbitration are described. In one embodiment, a method includes using a K different distance functions, calculating K per-distance tri-point arbitration similarities between a pair of data points with respect to an arbiter point. A multi-distance tri-point arbitration similarity S between the data points is calculated by determining that the data points are similar when a dominating number of the K per-distance tri-point arbitration similarities indicate that the data points are similar; and determining that the data points are dissimilar when a dominating number of the K per-distance tri-point arbitration similarities indicate that the data points are dissimilar. The multi-distance tri-point arbitration similarity is associated with the data points for use in future processing.
Public/Granted literature
- US20180349470A1 MULTI-DISTANCE SIMILARITY ANALYSIS WITH TRI-POINT ARBITRATION Public/Granted day:2018-12-06
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