Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble

We address the problem of unsupervised anomaly detection for multivariate data. Traditional machine learning based anomaly detection algorithms rely on specific assumptions of normal patterns and fail to model complex feature interactions and relations. Recently, existing deep learning based methods...

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主要な著者:	Qinfeng Xiao, Jing Wang, Youfang Lin, Wenbo Gongsa, Ganghui Hu, Menggang Li, Fang Wang
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-02-01
シリーズ:	Entropy
主題:	anomaly detection knowledge distillation ensemble learning deep learning cross entropy information entropy
オンライン･アクセス:	https://www.mdpi.com/1099-4300/23/2/201
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