Presentation 2006-03-02
Distributed Processing of Approximate Nearest Neighbor Search in High Dimensional L_p Space
Toshio OKA, Hiroyuki MORIKAWA, Tomonori AOYAMA,
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Abstract(in English) We addressed an efficient algorithm for approximate nearest neighbor search in high dimensional L_p space. Efficient computation of the search is important since the computational complexity of approximate nearest neighbor search grows as the size of dataset increases. We introduced an index called randomized neighbor search table and derived an algorithm that utilizes hyperspheres. Our simulation result shows that the algorithm achieved good performance both in terms of spacial and time complexity. In addition, we worked on an issue on distributed processing of the search towards a scalable approximate nearest search.
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Keyword(in English) Approximate Nearest Neighbor Search / Distributed Hash Table (DHT) / Load Balancing
Paper # IN2005-182
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Committee IN
Conference Date 2006/2/23(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Distributed Processing of Approximate Nearest Neighbor Search in High Dimensional L_p Space
Sub Title (in English)
Keyword(1) Approximate Nearest Neighbor Search
Keyword(2) Distributed Hash Table (DHT)
Keyword(3) Load Balancing
1st Author's Name Toshio OKA
1st Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo()
2nd Author's Name Hiroyuki MORIKAWA
2nd Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo
3rd Author's Name Tomonori AOYAMA
3rd Author's Affiliation Graduate School of Information Sciences and Technologies, The University of Tokyo
Date 2006-03-02
Paper # IN2005-182
Volume (vol) vol.105
Number (no) 628
Page pp.pp.-
#Pages 6
Date of Issue