Presentation | 2004/3/11 Multi-class Pattern Recognition based on Compression of High Dimensional Features Yusuke FUJIKAWA, Ken'ichi MOROOKA, Hiroshi NAGAHASHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a framework for multi-class pattern recognition based on compression of high dimensional features. In pattern recognition, since it is generally difficult to specify features that are suitable for classification of each class in advance, it is important to take the features into consideration broadly from various viewpoints in feature extraction from input pattern. However, if high dimensional features acquired as a result are directly used for classification, various problems such as the explosion of amount of calculation will be caused. Then, high dimensional features in which many features considered to be useful in classification were included are effectively compressed by a neural network to low dimensional features. This realizes highly precise and high-speed recognition. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multi-class pattern / high dimensional features / kernel method / dimensional compression |
Paper # | PRMU2003-272 |
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Committee | PRMU |
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Conference Date | 2004/3/11(1days) |
Place (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) | Multi-class Pattern Recognition based on Compression of High Dimensional Features |
Sub Title (in English) | |
Keyword(1) | multi-class pattern |
Keyword(2) | high dimensional features |
Keyword(3) | kernel method |
Keyword(4) | dimensional compression |
1st Author's Name | Yusuke FUJIKAWA |
1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Ken'ichi MOROOKA |
2nd Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology |
3rd Author's Name | Hiroshi NAGAHASHI |
3rd Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology |
Date | 2004/3/11 |
Paper # | PRMU2003-272 |
Volume (vol) | vol.103 |
Number (no) | 737 |
Page | pp.pp.- |
#Pages | 6 |
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