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Critical Review for One-class Classification: recent advances and the reality behind them
April 30, 2024, 4:42 a.m. | Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper offers a comprehensive review of one-class classification (OCC), examining the technologies and methodologies employed in its implementation. It delves into various approaches utilized for OCC across diverse data types, such as feature data, image, video, time series, and others. Through a systematic review, this paper synthesizes promi-nent strategies used in OCC from its inception to its current advance-ments, with a particular emphasis on the promising application. Moreo-ver, the article criticizes the state-of-the-art (SOTA) …
abstract advances arxiv class classification cs.cv cs.lg data diverse feature image implementation paper reality review series technologies them through time series type types video
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