| Presentation | 2008-12-18 Classifier selection in a family of polyhedron classifiers Tetsuji TAKAHASHI, Mineichi KUDO, Astuhiro NAKAMURA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is an efficient way to approximate a class region by convex hulls of samples. However, the convex hull is computationally hard to be constructed in high dimensions. In this paper, we propose a way to construct an approximate convex hull in a linear time of dimension. In addition, we discuss on selecting an optimal classifier from a family of polyhedron classifiers derived from approximate convex hulls. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pattern recognition / Convex hull / Generalization error / Classifier selection |
| Paper # | PRMU2008-153 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2008/12/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Classifier selection in a family of polyhedron classifiers |
| Sub Title (in English) | |
| Keyword(1) | Pattern recognition |
| Keyword(2) | Convex hull |
| Keyword(3) | Generalization error |
| Keyword(4) | Classifier selection |
| 1st Author's Name | Tetsuji TAKAHASHI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
| 2nd Author's Name | Mineichi KUDO |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| 3rd Author's Name | Astuhiro NAKAMURA |
| 3rd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| Date | 2008-12-18 |
| Paper # | PRMU2008-153 |
| Volume (vol) | vol.108 |
| Number (no) | 363 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |