• DocumentCode
    1985395
  • Title

    A fast nearest-neighbor search algorithm

  • Author

    Orchard, Michael T.

  • Author_Institution
    Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2297
  • Abstract
    A fast nearest-neighbor search algorithm is developed which incorporates prior information about input vectors. The prior information comes in the form of a vector from the codebook which is known to be near the input vector, though it may not be the nearest codebook vector. A number of applications are described for which such prior information is available. The algorithm has a very simple structure and can be designed to have very low memory requirements. The new algorithm requires much less computation for constructing precomputed tables than previously proposed algorithms with comparable performance. Simulations show dramatic saving over conventional full search methods
  • Keywords
    data compression; encoding; codebook vector; fast nearest-neighbor search algorithm; input vectors; simulations; vector quantisation; Algorithm design and analysis; Computational modeling; Encoding; Euclidean distance; Nearest neighbor searches; Particle measurements; Search methods; Search problems; Testing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150755
  • Filename
    150755