Invention Grant
- Patent Title: Region of interest weighted anomaly detection
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Application No.: US16149722Application Date: 2018-10-02
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Publication No.: US10909671B2Publication Date: 2021-02-02
- Inventor: Daiki Kimura , Ryuki Tachibana
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Randall Bluestone
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G16H30/20 ; G06K9/62 ; G06K9/48 ; G06N3/08 ; G06F16/51 ; G06F16/28

Abstract:
Anomalies are detected by generating a reconstructed dataset from an original dataset by using a generative model, calculating a differential dataset between the original dataset and the reconstructed dataset as a differential dataset, determining at least one of a region of interest of the original dataset and a region of interest of the reconstructed dataset, weighting the differential dataset by using the determined region of interest, and detecting an anomaly by using the weighted differential dataset.
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