Presentation 2010-01-21
Derivation of Theoretical Formulae of Accuracy and Memory Amount on Accessing Neighboring Buckets in Hash-Based Approximate Nearest Neighbor Search
Tomoyuki MUTO, Masashi TADA, Masakazu IWAMURA, Koichi KISE,
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Abstract(in English) Approximate nearest neighbor search is a technique which greatly reduces processing time and required amount of memory for nearest neighbor search. Generally, there are the relationships of trede-off among accuracy, processing time and memory amount. Thus, analysis on the relationships is an important task for actual use of approximate nearest neighbor search method. In this paper, we construct a model of approximate nearest neighbor search methods with accessing neighboring buckets [1]~[4], and derive theoretical formulae in accuracy and memory amount. We compare simulated values with experimented values.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Approximate Nearest Neighbor Search / Locality Sensitive Hashing / Neighboring Buckets Accessing Hashing / Derive Theoretical Formulae
Paper # CQ2009-71,PRMU2009-170,SP2009-111,MVE2009-93
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Committee CQ
Conference Date 2010/1/14(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Derivation of Theoretical Formulae of Accuracy and Memory Amount on Accessing Neighboring Buckets in Hash-Based Approximate Nearest Neighbor Search
Sub Title (in English)
Keyword(1) Approximate Nearest Neighbor Search
Keyword(2) Locality Sensitive Hashing
Keyword(3) Neighboring Buckets Accessing Hashing
Keyword(4) Derive Theoretical Formulae
1st Author's Name Tomoyuki MUTO
1st Author's Affiliation Graduate School of Engineering, Osaka Prefecture University()
2nd Author's Name Masashi TADA
2nd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
3rd Author's Name Masakazu IWAMURA
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
4th Author's Name Koichi KISE
4th Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
Date 2010-01-21
Paper # CQ2009-71,PRMU2009-170,SP2009-111,MVE2009-93
Volume (vol) vol.109
Number (no) 373
Page pp.pp.-
#Pages 6
Date of Issue