Adaptive floating search methods in feature selection

Pattern Recognition Letters

Volumn 20, Issue 11-13, 1999, Pages 1157-1163

  Somol, P ^a,b   Pudil, P ^a   Novovicova J ^a   Paclik P ^a  

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

^b CHARLES UNIVERSITY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; IMAGE ANALYSIS;

ADAPTIVE FLOATING SEARCH METHODS;

FEATURE EXTRACTION;

EID: 0033220764     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00083-5     Document Type: Article

References (6)

1. Devijver, P., Kittler, J., 1982. Pattern Recognition: A Statistical Approach. Prentice-Hall, New York.
2. Ferri, F.J., Pudil, P., Hatef, M., Kittler, J., 1994. Comparative study of techniques for large-scale feature selection. In: Gelsema, E.S., Kanal, L.N. (Eds.), Pattern Recognition in Practice IV. Elsevier, Amsterdam, pp. 403-413.
3. Jain, A., Zongker, D., 1997. Feature selection: Evaluation, application and small sample performance. IEEE Transactions on PAMI 19, 153-158.
4. Pudil, P., Novovičová, J., Bláha, S., 1991. Statistical approach to pattern recognition: theory and practical solution by means of PREDITAS System. Kybernetika 27 (Supplement), 1-78.
5. Pudil, P., Novovičová, J., Kittler, J., 1994. Floating search methods in feature selection. Pattern Recognition Letters 15 (11), 1119-1125.
6. Siedlecki, W., Sklansky, J., 1988. On automatic feature selection. International Journal of Pattern Recognition and Artificial Intelligence 2 (2), 197-220.