Presentation | 2004/2/13 Pattern Recognition by Distributed Coding : Experiments and Considerations on the Power Space Similarity Method Takao KOBAYASHI, Masaki NAKAGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper considers pattern recognition methods by distributed coding. These methods can perform fast learning against a large amount of training samples and their recognition speed is fast and irrelevant to the size of the learning samples. This paper presents both of the basic algorithm and extend algorithms. Then, it describes experiments on real data by the power space similarity method which is a kind of distributed coding and considers the effectiveness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Distributed Coding / Power Space Similarity method / Nearest Neighbor |
Paper # | TL2003-68,PRMU2003-254 |
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Conference Information | |
Committee | TL |
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Conference Date | 2004/2/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Thought and Language (TL) |
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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 Distributed Coding : Experiments and Considerations on the Power Space Similarity Method |
Sub Title (in English) | |
Keyword(1) | Distributed Coding |
Keyword(2) | Power Space Similarity method |
Keyword(3) | Nearest Neighbor |
1st Author's Name | Takao KOBAYASHI |
1st Author's Affiliation | Faculty of Engineering, First University() |
2nd Author's Name | Masaki NAKAGAWA |
2nd Author's Affiliation | Faculty of Engineering, First University |
Date | 2004/2/13 |
Paper # | TL2003-68,PRMU2003-254 |
Volume (vol) | vol.103 |
Number (no) | 657 |
Page | pp.pp.- |
#Pages | 6 |
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