| Presentation | 2002/9/13 Feature Extraction Based on Support Vector Machine Decision Boundaries Kotaro SHIMA, Masaru TODORIKI, Atsuyuki SUZUKI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Traditionally, Principal Component Analysis method has been used to extract features from high dimensional data. However, this method does not make use of class information, thus does not necessarily extract effective features specific to classification task. In this paper, we propose a feature extraction method based on decision boundaries obtained by Support Vector Machines, which is gaining much attention in pattern recognition community. We demonstrate the effectiveness of this method using a benchmark dataset. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Feature Extraction / Support Vector Machine / Decision Boundary / Singular Value Decomposition |
| Paper # | WIT2002-31 |
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| Committee | WIT |
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| Conference Date | 2002/9/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Well-being Information Technology(WIT) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature Extraction Based on Support Vector Machine Decision Boundaries |
| Sub Title (in English) | |
| Keyword(1) | Feature Extraction |
| Keyword(2) | Support Vector Machine |
| Keyword(3) | Decision Boundary |
| Keyword(4) | Singular Value Decomposition |
| 1st Author's Name | Kotaro SHIMA |
| 1st Author's Affiliation | Department of Quantum Engineering and Systems Science, University of Tokyo() |
| 2nd Author's Name | Masaru TODORIKI |
| 2nd Author's Affiliation | Department of Quantum Engineering and Systems Science, University of Tokyo |
| 3rd Author's Name | Atsuyuki SUZUKI |
| 3rd Author's Affiliation | Department of Quantum Engineering and Systems Science, University of Tokyo |
| Date | 2002/9/13 |
| Paper # | WIT2002-31 |
| Volume (vol) | vol.102 |
| Number (no) | 320 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |