| Presentation | 2007-09-04 Pattern Recognition by Kernel Wiener filter Hirokazu YOSHINO, Yukihiko YAMASHITA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Wiener filter is used widely for the inverse problem. From an observed signal, it provides the best restored signal with respect to the square error averaged over the original signal and the noise among linear operators. In this paper, we propose applying the kernel Wiener filter, which enables to handle signals nonlinearly by mapping signals to the high dimensional space with kernel trick, to the recognition part of the pattern recognition problem. Then, we regard a pattern as an observed signal and provide an identical original vector for the patterns belonging to the same class. Finally we classify an unknown pattern into the class of which vector is the nearest in the high dimensional space of the original space. In addition, we apply linear approximation to the kernel function to enable the regularization based on the distance in the observed signal space to enhance its performance of generalization. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pattern recognition / Wiener filter / kernel based method / inverse problem |
| Paper # | PRMU2007-87,HIP2007-96 |
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| Conference Information | |
| Committee | HIP |
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| Conference Date | 2007/8/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Human Information Processing (HIP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pattern Recognition by Kernel Wiener filter |
| Sub Title (in English) | |
| Keyword(1) | pattern recognition |
| Keyword(2) | Wiener filter |
| Keyword(3) | kernel based method |
| Keyword(4) | inverse problem |
| 1st Author's Name | Hirokazu YOSHINO |
| 1st Author's Affiliation | Graduate School of Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Yukihiko YAMASHITA |
| 2nd Author's Affiliation | Graduate School of Science and Engineering, Tokyo Institute of Technology |
| Date | 2007-09-04 |
| Paper # | PRMU2007-87,HIP2007-96 |
| Volume (vol) | vol.107 |
| Number (no) | 207 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |