Presentation 2019-03-17
[Fellow Memorial Lecture] From Small Sample Size Problem to Big Data
Shinichiro Omachi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the field of pattern recognition, how to develop a precise classifier with limited small number of data used to be one of the important problems. We can acquire various data that can be used for training more easily than before. However, the fact that each data is extremely important in pattern recognition is unchanged. In this report, we will introduce some of our pattern recognition researches related to the small sample size problem.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Statistical pattern recognition / Small sample size problem / Curse of dimensionality / Big data
Paper # BioX2018-38,PRMU2018-142
Date of Issue 2019-03-10 (BioX, PRMU)

Conference Information
Committee PRMU / BioX
Conference Date 2019/3/17(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII) / Kazuhiko Sumi(AGU)
Vice Chair Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) / Hitoshi Imaoka(NEC) / Tetsushi Ohki(Shizuoka Univ.)
Secretary Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) / Tetsushi Ohki(Univ. of Electro-Comm.)
Assistant Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) / Norihiro Okui(KDDI Research) / Daishi Watabe(Saitama Inst. of Tech.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Fellow Memorial Lecture] From Small Sample Size Problem to Big Data
Sub Title (in English)
Keyword(1) Statistical pattern recognition
Keyword(2) Small sample size problem
Keyword(3) Curse of dimensionality
Keyword(4) Big data
1st Author's Name Shinichiro Omachi
1st Author's Affiliation Tohoku University(Tohoku Univ.)
Date 2019-03-17
Paper # BioX2018-38,PRMU2018-142
Volume (vol) vol.118
Number (no) BioX-512,PRMU-513
Page pp.pp.59-60(BioX), pp.59-60(PRMU),
#Pages 2
Date of Issue 2019-03-10 (BioX, PRMU)