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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	International Conference on Pattern Recognition S. 435 - 441
Hauptverfasser:	Gangloff, Hugo, Pham, Minh-Tan, Courtrai, Luc, Lefevre, Sebastien
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 21.08.2022
Schlagworte:	Intrusion detection Learning systems Machine learning Measurement Medical diagnosis Pattern recognition Training
ISSN:	2831-7475
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!