VESC: a new variational autoencoder based model for anomaly detection
VESC: a new variational autoencoder based model for anomaly detection
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
Anomaly detection is a hot and practical problem. Most of the existing research is based on the model of the generative model, which judges abnormalities by comparing the data errors between original samples and reconstruction samples. Among them, Variational AutoEncoder (VAE) is widely used, but it has the problem of over-generalization. In this p...
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Full title
VESC: a new variational autoencoder based model for anomaly detection
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TN_cdi_proquest_journals_2920706173
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2920706173
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ISSN
1868-8071
E-ISSN
1868-808X
DOI
10.1007/s13042-022-01657-w
