Genetic algorithms for linear feature extraction

Pattern Recognition Letters

Volumn 27, Issue 13, 2006, Pages 1508-1514

  Perez Jimenez, Alberto J ^a   Perez Cortes, Juan C ^a  

^a INSTITUTO TECNOLÓGICO DE INFORMÁTICA   (Spain)

Author keywords

Feature extraction; Genetic algorithms; Statistic pattern recognition

Indexed keywords

DATA REDUCTION; GENETIC ALGORITHMS; NEURAL NETWORKS; NUMBER THEORY; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL METHODS;

DATA PROJECTION; NON-LINEAR DISCRIMINANT ANALYSIS (NDA); ORIGINAL DATA; STATISTIC PATTERN RECOGNITION;

FEATURE EXTRACTION;

EID: 33745856951     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2006.02.011     Document Type: Article

References (16)

1. Aladjem M. Parametric and nonparametric linear mappings of multidimensional data. Pattern Recognit. 24 6 (1991) 534-551
2. Blake, C., Merz, C., 1998. UCI repository of machine learning databases. URL available from: .
3. Cardoso, J., Comon, P., 1996. Independent component analysis, a survey of some algebraic methods. In: Proc. ISCAS-96, vol. 2, pp. 93-96.
4. Devijver P., and Kittler J. Pattern Recognition: A Statistical Approach (1982), Prentice Hall, London
5. Duda R., and Hart P. Pattern Classification and Scene Analysis (1973), John Wiley and Sons, New York
6. Fukunaga K. Statistical Pattern Recognition. second ed. (1990), Academic Press
7. Goldberg D. Genetic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley
8. Holland J. Adaptation in Natural and Artificial Systems (1975), The University of Michigan Press, Ann Tabor
9. Kohonen T. The self-organizing map. Proc. IEEE (1990) 1464-1480
10. Lerner B., Guterman H., Aladjem M., Dinstein I., and Romen Y. On pattern classification with Sammon's nonlinear mapping (an experimental study). Pattern Recognit. 31 4 (1998) 371-381
11. Liu, H., Motoda, H., (Eds.), 1998. Feature Extraction, Construction and Selection. A Data Mining Perspective, Kluwer Academic Publishers.
12. Mao J., and Jain A. Artificial neural networks for feature extraction and multivariate data projection. IEEE Trans. Neural Networks 6 2 (1995)
13. Mitchell M. An Introduction to Genetic Algorithms (1996), MIT Press, Cambridge, MA
14. Perez, A.J., Perez-Cortes, J.C., 2002. Radial projections for non-linear feature extraction. In: Proc. of ICPR2002. IEEE Comput. Soc., vol. II, pp. 444-447.
15. Sammon J. A non-linear mapping for data structure analysis. IEEE Trans. Comput C-18 5 (1969)
16. Siedlecki W., Siedlecka K., and Sklansky J. An overview of mapping techniques for exploratory pattern analysis. Pattern Recognit. 21 5 (1988) 411-429