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1
Unsupervised Feature Learning for Output Control of Generat..:
, In:
2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)
,
Toda, Kazuki
;
Atarashi, Kyohei
;
Oyama, Satoshi
. - p. 1-6 , 2020
Link:
https://doi.org/10.1109/SCISISIS50064.2020.9322714
RT T1 <cTitle>2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)</cTitle>: T1 <Title>Unsupervised Feature Learning for Output Control of Generative Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9322714&Exemplar=1&LAN=DE A1 Toda, Kazuki A1 Atarashi, Kyohei A1 Oyama, Satoshi A1 Kurihara, Masahito YR 2020 K1 Data models K1 Linear programming K1 Training K1 Unsupervised learning K1 Perturbation methods K1 Semisupervised learning K1 Entropy K1 unsupervised learning K1 deep learning K1 generative model K1 output control SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/SCISISIS50064.2020.9322714 DO https://doi.org/10.1109/SCISISIS50064.2020.9322714 SF ELIB - SuUB Bremen
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