Self-adversarial variational autoencoder with spectral residual for time series anomaly detection

Detecting anomalies accurately in time series data has been receiving considerable attention due to its enormous potential for a wide array of applications. Numerous unsupervised anomaly detection methods for time series have been developed because of the difficulty of obtaining accurate labels. How...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 458; S. 349 - 363
Hauptverfasser:	Liu, Yunxiao, Lin, Youfang, Xiao, QinFeng, Hu, Ganghui, Wang, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 11.10.2021
Schlagworte:	Adversarial training Anomaly detection Spectral residual Time series Variational autoencoder Variational autoencoder Adversarial training Spectral residual Anomaly detection Time series
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!