| 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) |