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1 Ergebnisse
1
Adaptive Spatiotemporal Feature Learning for Gait Recogniti..:
, In:
2022 16th ICME International Conference on Complex Medical Engineering (CME)
,
Zhang, Ke
;
Chang, Ying
;
Dong, Shiyuan
... - p. 327-331 , 2022
Link:
https://doi.org/10.1109/CME55444.2022.10063307
RT T1 <cTitle>2022 16th ICME International Conference on Complex Medical Engineering (CME)</cTitle>: T1 <Title>Adaptive Spatiotemporal Feature Learning for Gait Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10063307&Exemplar=1&LAN=DE A1 Zhang, Ke A1 Chang, Ying A1 Dong, Shiyuan A1 Miao, Yu A1 Feng, Guanyuan A1 Jiang, Zhengang YR 2022 K1 Representation learning K1 Adaptation models K1 Convolution K1 Biological system modeling K1 Neural networks K1 Feature extraction K1 Spatiotemporal phenomena K1 gait recongnition K1 feature fusion K1 adaptive K1 spatiotemporal features K1 fine-grained SP 327 OP 331 LK http://dx.doi.org/https://doi.org/10.1109/CME55444.2022.10063307 DO https://doi.org/10.1109/CME55444.2022.10063307 SF ELIB - SuUB Bremen
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