Presentation | 2004/9/3 A Vector Set Similarity Measure based on Bi-directional Mapping and Its Upper Bounds Takanori YOKOYAMA, Toshinori WATANABE, Hisashi KOGA, |
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Abstract(in English) | We have proposed a fractal code retrieval method. There, we interpreted a fractal code as a vector set, and introduced a similarity measure between vector sets. This similarity measure required high computation cost. To reduce it, we proposed a method to use upper bounds of the similarity measure. In this report, we further improve the proposed upper bounds by using subsets of the vector sets, and introduce a new upper bound of the similarity measure. This new upper bound is a generalization of the already proposed upper bounds. After discussions on the details of the new upper bound, and we examine its properties through an image retrieval experiment. |
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Paper # | PRMU2004-72 |
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Committee | PRMU |
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Conference Date | 2004/9/3(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
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Title (in English) | A Vector Set Similarity Measure based on Bi-directional Mapping and Its Upper Bounds |
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1st Author's Name | Takanori YOKOYAMA |
1st Author's Affiliation | Graduate School of Infomation Systems, University of Electro-Communications() |
2nd Author's Name | Toshinori WATANABE |
2nd Author's Affiliation | Graduate School of Infomation Systems, University of Electro-Communications |
3rd Author's Name | Hisashi KOGA |
3rd Author's Affiliation | Graduate School of Infomation Systems, University of Electro-Communications |
Date | 2004/9/3 |
Paper # | PRMU2004-72 |
Volume (vol) | vol.104 |
Number (no) | 290 |
Page | pp.pp.- |
#Pages | 6 |
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