Presentation | 1998/6/18 Pattern Recognition Method for Metric Space by Four Points Embedding Hideya YOSHIUCHI, Koji TSUDA, Michihiko MINOH, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In solving pattern recognition problem on Euclidean space, prototypes, which represent classes, are defined. On the other hand in solving it on metric space, Nearest Neighbour and K-Nearest Neighbour are frequently used, in which no prototype is defined. In this paper, we propose a new pattern recognition method for metric space that can use the centroid of three patterns in a class. This method is based on the theorem that four points of any metric space can be embedded into Euclidean space by an appropriate metric transform. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | metric space / Nearest Neighbour / embedding / pattern recognition |
Paper # | PRMU98-29 |
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Committee | PRMU |
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Conference Date | 1998/6/18(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Pattern Recognition Method for Metric Space by Four Points Embedding |
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Keyword(1) | metric space |
Keyword(2) | Nearest Neighbour |
Keyword(3) | embedding |
Keyword(4) | pattern recognition |
1st Author's Name | Hideya YOSHIUCHI |
1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
2nd Author's Name | Koji TSUDA |
2nd Author's Affiliation | Electrotechnical Laboratory |
3rd Author's Name | Michihiko MINOH |
3rd Author's Affiliation | Center for Information and Multimedia Studies, Kyoto University |
Date | 1998/6/18 |
Paper # | PRMU98-29 |
Volume (vol) | vol.98 |
Number (no) | 126 |
Page | pp.pp.- |
#Pages | 8 |
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