| Presentation | 2011-07-25 An Incremental Learning Algorithm of Kernel Principal Component Analysis for Chunk Data Takaomi TOKUMOTO, Seiichi OZAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, a new algorithm for Kernel Principal Component Analysis (KPCA) is proposed. We extended Takeuchi et al's Incremental KPCA to learn multiple data given at the same time by solving an eigenvalue problem at once. In our method, one or more linear independent data are selected from data in chunk based on the accumulation ratio. After the selection, the eigenspace is rotated by solving an eigenvalue problem at last. This rotation is done only once. So proposed IKPCA can learn faster than Takeuchi et al's IKPCA in which an eigenvalue problem should be solved for individual data. The experimental results shows that the proposed IKPCA can learn faster than Takeuchi et al's IKPCA without losing classification accuracy seriously. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | incremental learning / kernel method / principal component analysis / feature extraction |
| Paper # | NC2011-29 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2011/7/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Incremental Learning Algorithm of Kernel Principal Component Analysis for Chunk Data |
| Sub Title (in English) | |
| Keyword(1) | incremental learning |
| Keyword(2) | kernel method |
| Keyword(3) | principal component analysis |
| Keyword(4) | feature extraction |
| 1st Author's Name | Takaomi TOKUMOTO |
| 1st Author's Affiliation | Faculty of engineering, Kobe University() |
| 2nd Author's Name | Seiichi OZAWA |
| 2nd Author's Affiliation | Faculty of engineering, Kobe University |
| Date | 2011-07-25 |
| Paper # | NC2011-29 |
| Volume (vol) | vol.111 |
| Number (no) | 157 |
| Page | pp.pp.- |
| #Pages | 6 |
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