DocumentCode
1103486
Title
Locality-Sensitive Hashing for Finding Nearest Neighbors [Lecture Notes]
Author
Slaney, M. ; Casey, Michael
Volume
25
Issue
2
fYear
2008
fDate
3/1/2008 12:00:00 AM
Firstpage
128
Lastpage
131
Abstract
This lecture note describes a technique known as locality-sensitive hashing (LSH) that allows one to quickly find similar entries in large databases. This approach belongs to a novel and interesting class of algorithms that are known as randomized algorithms. A randomized algorithm does not guarantee an exact answer but instead provides a high probability guarantee that it will return the correct answer or one close to it. By investing additional computational effort, the probability can be pushed as high as desired.
Keywords
cryptography; probability; random processes; large databases; locality-sensitive hashing; nearest neighbors; probability; randomized algorithms; Buildings; Computer performance; Databases; Extraterrestrial measurements; Information retrieval; Internet; Multidimensional systems; Nearest neighbor searches; Signal processing algorithms; Video signal processing;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2007.914237
Filename
4472264
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