| Presentation | 2004/3/11 Suppressed kernel sample space projection method for pattern recognition Yoshikazu WASHIZAWA, Yukihiko YAMASHITA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose SKSP; suppressed kernel sample space projection method which is extended from KSP; kernel sample space projection method. By kernel based methods, after an input vector is mapped to a high dimensional feature space by a Mercer kernel function, it is classified. A kernel based method is applied to SVM and PC A, and achieves high performance. KSP is an one-class classifier. It classifies an unknown input vector by comparing the projection norms onto kernel sample spaces which are spanned by samples in the feature space. By SKSP, the effect of other classes is suppressed and useful features are extracted with an oblique projection. We show experimental results of hand written digits recognition problem and some two-class classification problems, and show its advantages. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kernel based method / Kernel sample projection method / Support vector machine(SVM) / Kernel PCA(KPCA) / Tikhonov regularization |
| Paper # | PRMU2003-270 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2004/3/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | Suppressed kernel sample space projection method for pattern recognition |
| Sub Title (in English) | |
| Keyword(1) | Kernel based method |
| Keyword(2) | Kernel sample projection method |
| Keyword(3) | Support vector machine(SVM) |
| Keyword(4) | Kernel PCA(KPCA) |
| Keyword(5) | Tikhonov regularization |
| 1st Author's Name | Yoshikazu WASHIZAWA |
| 1st Author's Affiliation | Tokyo Institute of Technology() |
| 2nd Author's Name | Yukihiko YAMASHITA |
| 2nd Author's Affiliation | Tokyo Institute of Technology |
| Date | 2004/3/11 |
| Paper # | PRMU2003-270 |
| Volume (vol) | vol.103 |
| Number (no) | 737 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |