Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection

Anomaly Detection (AD) is an important research topic, with very diverse applications such as industrial defect detection, medical diagnosis, fraud detection, intrusion detection, etc. Within the last few years, deep learning-based methods have become the standard approach for AD. In many practical...

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Vydané v:	International Conference on Pattern Recognition s. 435 - 441
Hlavní autori:	Gangloff, Hugo, Pham, Minh-Tan, Courtrai, Luc, Lefevre, Sebastien
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 21.08.2022
Predmet:	Intrusion detection Learning systems Machine learning Measurement Medical diagnosis Pattern recognition Training
ISSN:	2831-7475
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