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1 Ergebnisse
1
Exploring the Use of Different Feature Levels of CNN for An..:
, In:
2022 26th International Computer Science and Engineering Conference (ICSEC)
,
Farady, Isack
;
Bansal, Lakshay
;
Ruengittinun, Somchoke
.. - p. 146-150 , 2022
Link:
https://doi.org/10.1109/ICSEC56337.2022.10049323
RT T1 <cTitle>2022 26th International Computer Science and Engineering Conference (ICSEC)</cTitle>: T1 <Title>Exploring the Use of Different Feature Levels of CNN for Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10049323&Exemplar=1&LAN=DE A1 Farady, Isack A1 Bansal, Lakshay A1 Ruengittinun, Somchoke A1 Kuo, Chia-Chen A1 Lin, Chih-Yang YR 2022 K1 Training K1 Semantics K1 Training data K1 Predictive models K1 Feature extraction K1 Proposals K1 Task analysis K1 computer vision K1 industrial anomaly detection K1 high-dimensional features K1 dimensionality reduction K1 PCA SP 146 OP 150 LK http://dx.doi.org/https://doi.org/10.1109/ICSEC56337.2022.10049323 DO https://doi.org/10.1109/ICSEC56337.2022.10049323 SF ELIB - SuUB Bremen
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