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Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity
Author(s) -
Lorenzo Perini,
Vincent Vercruyssen,
Jesse Davis
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i4.20331
Subject(s) - anomaly detection , anomaly (physics) , computer science , similarity (geometry) , data mining , domain (mathematical analysis) , set (abstract data type) , artificial intelligence , data set , pattern recognition (psychology) , mathematics , image (mathematics) , mathematical analysis , physics , programming language , condensed matter physics

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