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1 Ergebnisse
1
Debunking Free Fusion Myth: Online Multi-view Anomaly Detec..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Wang, Hao
;
Cheng, Zhi-Qi
;
Sun, Jingdong
... - p. 3277-3286 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3612487
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3612487&Exemplar=1&LAN=DE A1 Wang, Hao A1 Cheng, Zhi-Qi A1 Sun, Jingdong A1 Yang, Xin A1 Wu, Xiao A1 Chen, Hongyang A1 Yang, Yan PB ACM YR 2023 K1 anomaly detection K1 multi-view data K1 unsupervised learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Anomaly detection K1 Information systems K1 Information systems applications K1 Data mining K1 Learning settings K1 Online learning settings SP 3277 OP 3286 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3612487 DO https://dl.acm.org/doi/10.1145/3581783.3612487 SF ELIB - SuUB Bremen
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