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Comparison of Two Fast Nearest-Neighbour Search Methods in High-Dimensional Large-Sized Databases

  • Javier Cano
  • Juan-Carlos Pérez-Cortés
  • Ismael Salvador
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3138)

Abstract

In this paper we show the results of a performance comparison between two Nearest Neighbour Search Methods: one, proposed by Arya & Mount, is based on a kd–tree data structure and a Branch and Bound approximate search algorithm [1], and the other is a search method based on dimensionality projections, presented by Nene & Nayar in [5]. A number of experiments have been carried out in order to find the best choice to work with high dimensional points and large data sets.

Keywords

Test Point Query Point Candidate List Rank Number Tree Data Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Arya, S., Mount, D.M., Netanyahu, N.S., Silverman, R., Wu, A.: An optimal algorithm for approximate nearest neighbor searching. Journal of the ACM 45, 891–923 (1998)MATHCrossRefMathSciNetGoogle Scholar
  2. 2.
    Cano, J., Perez-Cortes, J.C.: Vehicle license plate segmentation in natural images. In: Perales, F.J., Campilho, A.C., Pérez, N., Sanfeliu, A. (eds.) IbPRIA 2003. LNCS, vol. 2652, pp. 142–149. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  3. 3.
    Cano, J., Perez-Cortes, J.C., Arlandis, J., Llobet, R.: Training set expansion in handwritten character recognition. In: Caelli, T.M., Amin, A., Duin, R.P.W., Kamel, M.S., de Ridder, D. (eds.) SPR 2002 and SSPR 2002. LNCS, vol. 2396, pp. 548–556. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  4. 4.
    Friedman, J.H., Baskett, F., Shustek, L.J.: An algorithm for finding nearest neighbors. IEEE Transactions on Computers 25(10), 1000–1006 (1975)CrossRefGoogle Scholar
  5. 5.
    Nene, S.A., Nayar, S.K.: A simple algorithm for nearest neighbor search in high dimensions. IEEETPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Javier Cano
    • 1
  • Juan-Carlos Pérez-Cortés
    • 1
  • Ismael Salvador
    • 1
  1. 1.Instituto Tecnológico de InformáticaUniversidad Politécnica de ValenciaValenciaSpain

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