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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2020-03-17
09:45
Kyoto
(Cancelled but technical report was issued)
Deep neural network representation and learning of low-rank and sparse approximation -- With application to celiac angiography under free breathing --
Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) PRMU2019-91
Low-rank and sparse (L+S) approximation, a.k.a. stable and robust principal component analysis, is known to be suitable ... [more] PRMU2019-91
pp.133-138
SSS 2013-12-19
16:20
Tokyo   [Invited Lecture] Safety culture in Japan - Nuclear power and energy
Michitsugu Mori (Hokkaido Univ.) SSS2013-33
Accompanied by huge tsunami, the Pacific Ocean earthquake off the coast of the Tohoku region, occurred on March 11 2011,... [more] SSS2013-33
pp.21-24
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