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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, IMQ, MVE, CQ
(Joint) [detail]		 2020-03-05
13:25		 Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)		 IMQ2019-20 IE2019-102 MVE2019-41 (To be available after the conference date) [more] IMQ2019-20 IE2019-102 MVE2019-41
pp.29-30
MBE, NC
(Joint)		 2018-03-14
11:15		 Tokyo Kikai-Shinko-Kaikan Bldg. Evaluation of feature selection accuracy using sparse classification algorithm based on L0-norm optimization
Naoki Ishibashi, Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo/JST PRESTO) NC2017-91		 Classification often suffers from overfitting if applied to a dataset of small sample size and high dimensionality. Dime... [more] NC2017-91
pp.139-144
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2016-07-06
14:55		 Okinawa Okinawa Institute of Science and Technology Classification analysis of high-dimensional data based on L0-norm optimization.
Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo) NC2016-14		 Advances in sensing devices allow us to measure high-dimensional data easily, but the sample size is often limited becau... [more] NC2016-14
pp.223-228
NC, MBE
(Joint)		 2014-03-17
15:40		 Tokyo Tamagawa University Temporal relationship between object category representation and the level of category abstraction in the human visual cortex
Masashi Sato, Yoichi Miyawaki (UEC) NC2013-128		 Object categories can be hierarchically ordered from abstract to concrete levels. Previous studies showed that the corre... [more] NC2013-128
pp.227-232
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