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1 Ergebnisse
1
Anomaly Detection Method Based on Gaussian Mixture Model an..:
, In:
2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
,
Fu, Cong
;
Tao, Hongzhu
;
Shang, Jingan
... - p. 1909-1915 , 2023
Link:
https://doi.org/10.1109/ITAIC58329.2023.10408888
RT T1 <cTitle>2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)</cTitle>: T1 <Title>Anomaly Detection Method Based on Gaussian Mixture Model and Orthogonal Generative Adversarial Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10408888&Exemplar=1&LAN=DE A1 Fu, Cong A1 Tao, Hongzhu A1 Shang, Jingan A1 Huang, Yunhao A1 Wang, Jiaqi A1 Xu, Kai A1 Xin Ma, Xin A1 Sheng, XinXin YR 2023 SN 2693-2865 K1 Training K1 Deep learning K1 Feature extraction K1 Generative adversarial networks K1 Encoding K1 Anomaly detection K1 Gaussian mixture model K1 Anomaly Detection K1 Gaussian Mixture Model K1 Generative Adversarial Network SP 1909 OP 1915 LK http://dx.doi.org/https://doi.org/10.1109/ITAIC58329.2023.10408888 DO https://doi.org/10.1109/ITAIC58329.2023.10408888 SF ELIB - SuUB Bremen
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