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1 Ergebnisse
1
Few Shot Spatio-Temporal Anomaly Detection Model For Suspic..:
, In:
2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)
,
Aziz, Nouman
;
Muhammad, Wasif
;
Qaiser, Irfan
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICEPECC57281.2023.10209429
RT T1 <cTitle>2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)</cTitle>: T1 <Title>Few Shot Spatio-Temporal Anomaly Detection Model For Suspicious Activities</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10209429&Exemplar=1&LAN=DE A1 Aziz, Nouman A1 Muhammad, Wasif A1 Qaiser, Irfan A1 Asghar, Ali A1 Irshad, Muhammad Jehanzeb A1 Bilal, Yumna YR 2023 K1 Training K1 Deep learning K1 Convolution K1 Computational modeling K1 Feature extraction K1 Data models K1 Computational efficiency K1 Few Shot K1 Autoencoder K1 Avenue Dataset K1 Anomaly Detection K1 computational cost K1 labels K1 Unsupervised SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICEPECC57281.2023.10209429 DO https://doi.org/10.1109/ICEPECC57281.2023.10209429 SF ELIB - SuUB Bremen
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