• DocumentCode
    948105
  • Title

    Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion

  • Author

    Liu, Jun ; Chen, Songcan ; Tan, Xiaoyang ; Zhang, Daoqiang

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronautics, Nanjing
  • Volume
    18
  • Issue
    6
  • fYear
    2007
  • Firstpage
    1862
  • Lastpage
    1864
  • Abstract
    The goal of this comment is to first point out two loopholes in the paper by Li (2006): (1) so-designed efficient maximal margin criterion (MMC) algorithm for small sample size (SSS) problem is problematic and (2) the discussion on the equivalence with the null-space-based methods in SSS problem does not hold. Then, we will present a really efficient MMC algorithm for SSS problem.
  • Keywords
    computational complexity; feature extraction; feature extraction; maximum margin criterion algorithm; null-space-based method; small sample size problem; two loophole; Application software; Computer science; Euclidean distance; Face recognition; Feature extraction; Image storage; Null space; Robustness; Scattering; Technological innovation; Efficient algorithm; equivalence; maximal margin criterion (MMC); null space; small sample size (SSS) problem;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2007.900813
  • Filename
    4359189
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=948105