• DocumentCode
    3491323
  • Title

    Multi-class support vector machines: a new approach

  • Author

    Arenas-Garcia, Jerónimo ; Pérez-Cruz, Fernando

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. Carlos III, Madrid, Spain
  • Volume
    2
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    We propose a new approach for solving multiclass problems with support vector machines. We modify the existing technique to properly reduce the empirical error, therefore we will be ideally able to outperform the previously proposed scheme for multi-class SVMs. The proposed approach also provides solutions with a significant reduction in the number of support vectors, which is an important feature for fast systems.
  • Keywords
    learning automata; signal classification; statistical analysis; binary classification SVM; classification error; fast systems; multi-class SVM; multi-class support vector machines; optimization; quadratic programming; statistical learning theory; training time; Support vector machine classification; Support vector machines; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1202483
  • Filename
    1202483