Combining feature subsets in feature selection

Lecture Notes in Computer Science

Volumn 3541, Issue , 2005, Pages 165-175

  Skurichina, Marina ^a   Duin, Robert P W ^a  

^a Delft University of Technology ^*  (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; SET THEORY;

COMBINED CLASSIFIER APPROACH; DATA CLASSES; FEATURE SUBSETS; MULTIPLE CLASSIFIER SYSTEMS;

FEATURE EXTRACTION;

EID: 26444507921     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494683_17     Document Type: Conference Paper

References (9)

1. Jain, A.K., Chandrasekaran, B.: Dimensionality and Sample Size Considerations in Pattern Recognition Practice. In: Krishnaiah, P.R., Kanal, L.N. (eds.): Handbook of Statistics, Vol. 2. North-Holland, Amsterdam (1987) 835-855
2. Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press (1990) 400-407
3. De Veld, D.C.G., Skurichina, M., Witjes, M.J.H., et.al. Autofluorescence and Diffuse Reflectance Spectroscopy for Oral Oncology. Accepted in Lasers in Surgery and Medicine (2005)
4. Blake, C.L., and Merz, C.J.: UCI repository of machine learning databases (1998). http://www.ics.uci.edu/~mlearn/MLRepository.html
5. Tax, D.M.J., van Breukelen, M., Duin, R.P.W. and Kittler, J.: Combining Multiple Classifiers by Averaging or Multiplying? Pattern Recognition, Vol. 33(9) (2000) 1475-1485
6. Ho, T.K.: The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20(8) (1998) 832-844
7. Freund, Y., and Shapire, R.E.: Experiments with a New Boosting Algorithm. Proceedings of the 13th International Conference on Machine Learning (1996) 148-156
8. . Kuncheva, L.I., Bezdek, J.C., and Duin, R.P.W.: Decision Templates for Multiple Classifier Fusion: An Experimental Comparison. Pattern Recognition, Vol. 34(2) (2001) 299-314
9. Kuncheva, L.I.: Combining Pattern Classifiers. Methods and Algorithms. Wiley (2004)