Oscillating search algorithms for feature selection

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 2, 2000, Pages 406-409

  Somol, P ^a   Pudil, P ^a  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; INTERACTIVE COMPUTER SYSTEMS;

NEAR OPTIMUM; OPTIMAL SUBSET SEARCH; SEARCH ALGORITHMS; SUBSET SELECTION;

REAL TIME SYSTEMS;

EID: 34147149841     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

1. P. A. Devijver and J. Kittler. Pattern Recognition: A Statistical Approach. Prentice-Hall, 1982.
2. FJ.Ferri, P.Pudil, M.Hatef, and J.Kittler. Pattern Recognition in Practice IV., chapter Comparative Study of Techniques for Large-Scale Feature Selection with Nonmonotonic Criterion Functions, pages 403-414. Elsevier, 1994.
3. A. K. Jain and D. Zongker. Feature selection: Evaluation, application and small sample performance. IEEE Transactions on PAMI, 19:153-158, 1997.
4. P. Pudil, J. Novovičová, and S. Bláha. Statistical approach to pattern recognition: Theory and practical solution by means of PREDITAS system. Kybernetika, 27:1-78, Suppl., 1991.
5. P. Pudil, J. Novovičová, and J. Kittler. Floating search methods in feature selection. Pattern Recognition Letters, 15:1119-1125, November 1994.
6. P. Somol, P. Pudil, J. Novovičová, and P. Paclík. Adaptive floating search methods in feature selection. Pattern Recognition Letters, 20(11-13):1157-1163, December 1999.