Deep Multiple-sphere Support Vector Data Description Based on Variational Autoencoder with Mixture-of-Gaussians Prior

With the continuous increase of data dimension and scale, anomaly detection methods based on deep learning have achieved excellent detection performance, among which deep support vector data description（Deep SVDD） has been widely used.However, it is necessary to impose constraints on various paramet...

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Bibliographic Details

Published in:	Ji suan ji ke xue Vol. 51; no. 6; pp. 135 - 143
Main Authors:	Wu, Huinan, Xing, Hongjie, Li, Gang
Format:	Journal Article
Language:	Chinese
Published:	Chongqing Guojia Kexue Jishu Bu 01.06.2024 Editorial office of Computer Science
Subjects:	Anomalies Deep learning deep support vector data description|mixture-of-gaussians prior|variational autoencoder|anomaly detection|hypersphere collapse Hyperspheres Machine learning Mapping Mixtures Parameters
ISSN:	1002-137X
Online Access:	Get full text
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