Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders

Time series anomaly detection plays a vital role in a wide range of applications. Existing methods require training one specific model for each dataset, which exhibits limited generalization capability across different target datasets, hindering anomaly detection performance in various scenarios wit...

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Hauptverfasser:	Shentu, Qichao, Li, Beibu, Zhao, Kai, Shu, Yang, Rao, Zhongwen, Pan, Lujia, Yang, Bin, Guo, Chenjuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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