Presentation | 2001/10/11 A Multiclass Classification Method Based on Multiple Pairwise Classifiers Tomoyuki HAMAMURA, Hiroyuki MIZUTANI, Bunpei IRIE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, a multiclass classification method is presented. To classify multiple classes, we combine two-class classifiers of all pair of classes. To combine two-class classifiers, we propose a Resemblance Model to calculate a posteriori probability. We showed the validity of this model by using approximation of a posteriori probability formula. When we have a posteriori probability, we can apply the Bayes classification rule to obtain the optimal decision, and furthermore, control the rejection quite easy. As an example, we performed a experiment of handwritten numerals recognition and obtained the good result. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Pattern recognition / Two-class classification / Multiclass classification / Resemblance Model / Posteriori probability / Bayes classification rule |
Paper # | PRMU2001-102,NC2001-52 |
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Committee | PRMU |
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Conference Date | 2001/10/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | A Multiclass Classification Method Based on Multiple Pairwise Classifiers |
Sub Title (in English) | |
Keyword(1) | Pattern recognition |
Keyword(2) | Two-class classification |
Keyword(3) | Multiclass classification |
Keyword(4) | Resemblance Model |
Keyword(5) | Posteriori probability |
Keyword(6) | Bayes classification rule |
1st Author's Name | Tomoyuki HAMAMURA |
1st Author's Affiliation | TOSHIBA Corp.() |
2nd Author's Name | Hiroyuki MIZUTANI |
2nd Author's Affiliation | TOSHIBA Corp. |
3rd Author's Name | Bunpei IRIE |
3rd Author's Affiliation | TOSHIBA Corp. |
Date | 2001/10/11 |
Paper # | PRMU2001-102,NC2001-52 |
Volume (vol) | vol.101 |
Number (no) | 362 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |