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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP 2018-08-27
14:20		 Kyoto Kyoto Univ. [Invited Talk] Product models and semi-supervised word segmentation
Daichi Mochihashi (ISM) SP2018-28		 While deep learning methods have achieved revolutionary success in
speech and audio research, the impact is less signif... [more]		 SP2018-28
p.29
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-19
10:05		 Okinawa   A preliminary study on unsupervised registration with deep learning
Kai Nagara, Holger R. Roth, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2017-65		 Registration is one of the important processes in medical image processing. Many researchers have proposed methods for r... [more] MI2017-65
pp.7-12
HCGSYMPO
(2nd)		 2017-12-13
- 2017-12-15		 Ishikawa THE KANAZAWA THEATRE GAN-based Similarity Search System -- Prototype of a Similarity Search System capturing Various Atmospheres --
Youhei Yamaguchi, Hisanobu Nakamura (KCI) 		DCGAN (Deep Convolutional Generative Adversarial Network) which is an unsupervised learning method for image generation ... [more]
IBISML 2016-11-16
15:00		 Kyoto Kyoto Univ. [Poster Presentation] Principal Component Analysis based unsupervised Feature Extraction applied to Bioinformatics
Y-h. Taguchi (Chuo Univ.) IBISML2016-47		 Recently, numerous researches were performed for the machine/statisitical learning. Among those, deep learning is especi... [more] IBISML2016-47
pp.17-24
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