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1 Ergebnisse
1
MCVAE: Multi-channel Variational Autoencoder for Anomaly De..:
, In:
2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)
,
Zhang, Wanzhen
;
Xu, Liheng
;
Yu, Zhihui
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/PAAP56126.2022.10010358
RT T1 <cTitle>2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)</cTitle>: T1 <Title>MCVAE: Multi-channel Variational Autoencoder for Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10010358&Exemplar=1&LAN=DE A1 Zhang, Wanzhen A1 Xu, Liheng A1 Yu, Zhihui A1 Zhang, Zikai A1 Liu, Tonglai A1 Liu, Shuangyin YR 2022 K1 Training K1 Detectors K1 Programming K1 Gaussian distribution K1 Feature extraction K1 Parallel architectures K1 Internet of Things K1 unsupervised learning K1 anomaly detection K1 variational autoencoder K1 multi-channel SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/PAAP56126.2022.10010358 DO https://doi.org/10.1109/PAAP56126.2022.10010358 SF ELIB - SuUB Bremen
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