• DocumentCode
    2370612
  • Title

    Using discriminant analysis for multi-class classification

  • Author

    Li, Tao ; Zhu, Shenghuo ; Ogihara, Mitsunori

  • Author_Institution
    Dept. of Comput. Sci., Rochester Univ., NY, USA
  • fYear
    2003
  • fDate
    19-22 Nov. 2003
  • Firstpage
    589
  • Lastpage
    592
  • Abstract
    Discriminant analysis is known to learn discriminative feature transformations. We study its use in multiclass classification problems. The performance is tested on a large collection of benchmark datasets.
  • Keywords
    computational complexity; learning (artificial intelligence); pattern classification; pattern recognition; statistical databases; support vector machines; SVM; benchmark dataset collection; discriminant analysis; discriminative feature transformation; machine learning problem; multiclass classification; support vector machine; Benchmark testing; Character generation; Chromium; Computer science; Covariance matrix; Face recognition; Linear discriminant analysis; Machine learning; Scattering; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining, 2003. ICDM 2003. Third IEEE International Conference on
  • Print_ISBN
    0-7695-1978-4
  • Type

    conf

  • DOI
    10.1109/ICDM.2003.1250984
  • Filename
    1250984
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2370612