Feature selection for support vector machines

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 2, 2000, Pages 712-715

  Hermes, Lothar ^a   Buhmann, Joachim M ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; SUPPORT VECTOR MACHINES;

CLASS ASSIGNMENTS; CLASSIFICATION ACCURACY; CLASSIFICATION PROCESS; FEATURE PRUNING; FEATURE SETS; GENERALIZATION ABILITY; HIGH-DIMENSIONAL; INDIVIDUAL COMPONENTS;

FEATURE EXTRACTION;

EID: 34147095576     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

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2. L. Hermes, D. Frieauff, J. Puzicha, and J. M. Buhmann. Support vector machines for land usage classification in Landsat TM imagery. In Proc. of the IEEE IGARSS'99, 1999.
3. E. E. Osuna, R. Freund, and F. Girosi. Support vector machines: Training and applications. AI Memo 1602, AI Lab, Massachusetts Institute of Technology, March 1997.
4. J. C. Platt. Probabilistic outputs for suppoort vector machines and comparisions to regularized likelihood methods. In A. J. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers. MIT Press, 1998.
5. V. N. Vapnik. Statistical Learning Theory. John Wiley & Sons, 1998.
6. A. Webb. Statistical Pattern Recognition. Arnold, 1999.