Derivation of Theoretical Formulas of Accuracy on Accessing Neighboring Buckets in Hash-Based Approximate Nearest Neighbor Search

LanguageEnglish
TypeProceedings of International Conferences
AuthorsTomoyuki Mutoh, Masakazu Iwamura, Koichi Kise
TitleDerivation of Theoretical Formulas of Accuracy on Accessing Neighboring Buckets in Hash-Based Approximate Nearest Neighbor Search
JournalProceedings of The 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)
Pagespp.31-36
LocationFukuoka, Japan
ReviewedNot reviewed
DateNovember 2010
Research fieldsNearest Neighbor Search
KeyMutoh2010_CJKPR (id=1173)

Abstract

Approximate nearest neighbor search is a technique which greatly reduces processing time and required amount of memory. Generally, there are the relationships of trade-off among accuracy, processing time and memory amount. Therefore, analysis on the relationships is an important task for practical application of the approximate nearest neighbor search method. In this paper, we construct a model of approximate nearest neighbor search methods with accessing neighboring buckets, and derive theoretical formulas in accuracy. The effectiveness of the formulas have been proved by comparing simulation results with experimental results.

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