• DocumentCode
    478089
  • Title

    Polynomial Radial Base Function: A New Local Similarity Measure

  • Author

    Luo, Linkai ; Liu, Ting ; Peng, Hong ; Zhou, Qifeng

  • Author_Institution
    Dept. of Autom., Xiamen Univ., Xiamen
  • Volume
    2
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    116
  • Lastpage
    119
  • Abstract
    This paper studies the local similarity measure function. First, we propose polynomial radial base function (PRBF) as a local similarity measure. Then we compare the properties between Gaussian radial base function (GRBF) and PRBF, and show PRBF not only is similar to GRBF but also is of a faster computational rapidity. PRBF is a good substitute for GRBF when high computational rapidity is demanded.
  • Keywords
    polynomials; radial basis function networks; Gaussian radial base function; local similarity measure; polynomial radial base function; Computational efficiency; Interpolation; Pattern recognition; Polynomials; Semisupervised learning; Unsupervised learning; Gaussian Radial Base Function; Polynomial Radial Base Function; Similarity Measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.276
  • Filename
    4666968
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=478089