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1 Ergebnisse
1
Integrated Autoencoder-Level Set Method Outperforms Autoenc..:
, In:
2022 International Joint Conference on Neural Networks (IJCNN)
,
Shuo Liu, Shuo Liu
;
Xuemei Ding, Xuemei Ding
;
Damien Coyle, Damien Coyle
- p. 1-8 , 2022
Link:
https://doi.org/10.1109/IJCNN55064.2022.9891877
RT T1
2022 International Joint Conference on Neural Networks (IJCNN)
: T1
Integrated Autoencoder-Level Set Method Outperforms Autoencoder for Novelty Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-9891877&Exemplar=1&LAN=DE A1 Shuo Liu, Shuo Liu A1 Xuemei Ding, Xuemei Ding A1 Damien Coyle, Damien Coyle YR 2022 SN 2161-4407 K1 Neuroimaging K1 Detectors K1 Companies K1 Medical services K1 Robot sensing systems K1 Video surveillance K1 US Department of Defense K1 novelty detection K1 level set methods K1 autoencoder K1 level set boundary description SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN55064.2022.9891877 DO https://doi.org/10.1109/IJCNN55064.2022.9891877 SF ELIB - SuUB Bremen
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