Presentation | 2020-03-17 Experimental Evaluation for Bayes Error Estimation Capability of Large Geometric Margin Minimum Classification Error Training Ikuhiro Nishiyama, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Previous studies suggested that the Large Geometric Margin-Minimum Classification Error (LGM-MCE) training method had the effect of virtually increasing training samples in a sample space and improving the quality of Bayes error (minimum classification error probability) estimation. However, those studies were simply conducted without sufficiently controlling various estimation-influencing factors. In this paper, we comprehensively control the influencing factors in the LGM-MCE training such as the capability of representing class boundaries (classifiers’ model sizes) and clarify the existence of the effect through experiments using the cross-validation training/testing scheme. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Large geometric margin-minimum classification error training / Virtual sample generation effect / Bayes error estimation |
Paper # | PRMU2019-99 |
Date of Issue | 2020-03-09 (PRMU) |
Conference Information | |
Committee | PRMU / IPSJ-CVIM |
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Conference Date | 2020/3/16(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Yoichi Sato(Univ. of Tokyo) |
Vice Chair | Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT) |
Secretary | Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX) |
Assistant | Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Experimental Evaluation for Bayes Error Estimation Capability of Large Geometric Margin Minimum Classification Error Training |
Sub Title (in English) | |
Keyword(1) | Large geometric margin-minimum classification error training |
Keyword(2) | Virtual sample generation effect |
Keyword(3) | Bayes error estimation |
1st Author's Name | Ikuhiro Nishiyama |
1st Author's Affiliation | Doshisha University(Doshisha Univ.) |
2nd Author's Name | Hideyuki Watanabe |
2nd Author's Affiliation | Advanced Telecommunications Research Institute International(ATR) |
3rd Author's Name | Shigeru Katagiri |
3rd Author's Affiliation | Doshisha University(Doshisha Univ.) |
4th Author's Name | Miho Ohsaki |
4th Author's Affiliation | Doshisha University(Doshisha Univ.) |
Date | 2020-03-17 |
Paper # | PRMU2019-99 |
Volume (vol) | vol.119 |
Number (no) | PRMU-481 |
Page | pp.pp.231-236(PRMU), |
#Pages | 6 |
Date of Issue | 2020-03-09 (PRMU) |