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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Autors principals:	Qinfeng Xiao, Jing Wang, Youfang Lin, Wenbo Gongsa, Ganghui Hu, Menggang Li, Fang Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-02-01
Col·lecció:	Entropy
Matèries:	anomaly detection knowledge distillation ensemble learning deep learning cross entropy information entropy
Accés en línia:	https://www.mdpi.com/1099-4300/23/2/201
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