• 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