Presentation | 2008-09-05 High-speed Vector Search with Data-alignment Optimization using Self-organization Algorithm Daisuke MATSUBARA, Atsushi HIROIKE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the similarity-based image retrieval system for huge amount of vector data, it is necessary to access data on the secondary storage effectively, because it is impossible to hold all vector data on the primary storage. In this paper, we describe the data-alignment method which locates similar data into closer part on the secondary storage to access at high-speed. |
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Paper # | PRMU2008-61,HIP2008-61 |
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Committee | PRMU |
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Conference Date | 2008/8/29(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) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | High-speed Vector Search with Data-alignment Optimization using Self-organization Algorithm |
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1st Author's Name | Daisuke MATSUBARA |
1st Author's Affiliation | Central Research Laboratory, Hitachi, Ltd.() |
2nd Author's Name | Atsushi HIROIKE |
2nd Author's Affiliation | Central Research Laboratory, Hitachi, Ltd. |
Date | 2008-09-05 |
Paper # | PRMU2008-61,HIP2008-61 |
Volume (vol) | vol.108 |
Number (no) | 198 |
Page | pp.pp.- |
#Pages | 6 |
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