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1 Ergebnisse
1
Fusion Method of Convolutional Neural Network and Support V..:
, In:
2019 IEEE International Conference on Mechatronics and Automation (ICMA)
,
Nagata, Fusaomi
;
Tokuno, Kenta
;
Nakashima, Kento
... - p. 970-975 , 2019
Link:
https://doi.org/10.1109/ICMA.2019.8816454
RT T1 <cTitle>2019 IEEE International Conference on Mechatronics and Automation (ICMA)</cTitle>: T1 <Title>Fusion Method of Convolutional Neural Network and Support Vector Machine for High Accuracy Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8816454&Exemplar=1&LAN=DE A1 Nagata, Fusaomi A1 Tokuno, Kenta A1 Nakashima, Kento A1 Otsuka, Akimasa A1 Ikeda, Takeshi A1 Ochi, Hiroyuki A1 Watanabe, Keigo A1 Habib, Maki K. YR 2019 SN 2152-744X K1 Support vector machines K1 Training K1 Feature extraction K1 Kernel K1 Inspection K1 Convolutional neural networks K1 Resins K1 Deep Convolutional Neural Network (DCNN) K1 Support Vector Machine (SVM) K1 Defect Inspection System SP 970 OP 975 LK http://dx.doi.org/https://doi.org/10.1109/ICMA.2019.8816454 DO https://doi.org/10.1109/ICMA.2019.8816454 SF ELIB - SuUB Bremen
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