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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2019-03-17
13:30		 Tokyo   [Fellow Memorial Lecture] From Small Sample Size Problem to Big Data
Shinichiro Omachi (Tohoku Univ.) BioX2018-38 PRMU2018-142		 In the field of pattern recognition, how to develop a precise classifier with limited small number of data used to be on... [more] BioX2018-38 PRMU2018-142
pp.59-60
CCS 2017-11-10
13:30		 Osaka Osaka Univ. [Invited Lecture] Cerebellar circuits for learning from limited training samples
Isao Tokuda (Ritsumei), Huu Hoang, Mitsuo Kawato (ATR) CCS2017-30		 The cerebellum plays a pivotal role in motor learning. Despite a huge amount of degrees-of-freedom involved in movements... [more] CCS2017-30
pp.49-53
RCS, IN
(Joint)		 2013-05-17
14:50		 Tokyo Kikai-Shinko-Kaikan Bldg. Name resolution based on a set of attribute-value pairs in real world information
Ryoichi Kawahara, Hiroshi Saito (NTT) IN2013-23		 It is expected that a huge number of various types
of objects such as sensor-devices, mobile terminals, and
home-app... [more]		 IN2013-23
pp.65-70
MBE 2011-09-26
13:50		 Niigata Nagaoka Univ. of Tech. On the Emotion Measurement Method with Fractal Dimension Subspace of Multichannel EEG Signals
Kazuki Uchino, Masahiro Nakagawa (NUT) MBE2011-45		 It has been well appreciated that the nerval activity is only recorded in part in terms of electroencephalogram (EEG). M... [more] MBE2011-45
pp.33-38
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