Presentation | 2010-12-10 Comparison between Minimum Classification Error Training and a Support Vector Machine in Prototype-based Classifier Design Mamoru ADACHI, Hideyuki WATANABE, Shigeru KATAGIRI, Miho OHSAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we experimentally compared the size of trained classifier class models (prototypes) between Support Vector Machine (SVM) and a newly proposed discriminative training method called Large Geometric Margin Minimum Classification Error (LGM-MCE) training. We first clarify that SVM often requires a large number of prototypes (i.e., support vectors), which result in a scalability problem. Next we show the insufficiency of SVM when the number of support vectors is limited and clearly demonstrate that LGM-MCE is much more useful for realizing a small-size but highly-discriminative classifier than SVM. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Minimum classification error training / Support Vector Machine / Prototype-based classifier / K-means clustering |
Paper # | PRMU2010-146 |
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Committee | PRMU |
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Conference Date | 2010/12/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Comparison between Minimum Classification Error Training and a Support Vector Machine in Prototype-based Classifier Design |
Sub Title (in English) | |
Keyword(1) | Minimum classification error training |
Keyword(2) | Support Vector Machine |
Keyword(3) | Prototype-based classifier |
Keyword(4) | K-means clustering |
1st Author's Name | Mamoru ADACHI |
1st Author's Affiliation | Doshisha University() |
2nd Author's Name | Hideyuki WATANABE |
2nd Author's Affiliation | MASTAR Project, NICT |
3rd Author's Name | Shigeru KATAGIRI |
3rd Author's Affiliation | Doshisha University |
4th Author's Name | Miho OHSAKI |
4th Author's Affiliation | Doshisha University |
Date | 2010-12-10 |
Paper # | PRMU2010-146 |
Volume (vol) | vol.110 |
Number (no) | 330 |
Page | pp.pp.- |
#Pages | 6 |
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