A neural adaptive algorithm for feature selection and classification of high dimensionality data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3617 LNCS, Issue , 2005, Pages 753-760

  Binaghi, Elisabetta ^a   Gallo, Ignazio ^a   Boschetti, Mirco ^b   Brivio, P Alessandro ^b  

^a UNIVERSITY OF INSUBRIA   (Italy)

^b INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DATA REDUCTION; FEATURE EXTRACTION; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; REMOTE SENSING; STATISTICAL METHODS;

FEATURE SELECTION STRATEGY; HIDDEN LAYERS; NEURAL ADAPTIVE TECHNIQUES; NOISY SITUATIONS;

ADAPTIVE ALGORITHMS;

EID: 33745182317     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11553595_92     Document Type: Conference Paper

References (12)

1. Fukunaga, K., Hayes, R.R., 1989. Effects of Sample Size Classifier Design, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no.8, pp.873-885
2. Jain A.K., Duin R.P., Mao J., 2000. Statistical Pattern Recognition: a review, IEEE Trans. on Pattern Analysis and Machine Intelligence, 22, pp.4-37
3. Jain, A., Zongker D., 1997. Feature Selection: Evaluation, Application, and Small Sample Performance, IEEE Trans. on Pattern Analysis and Machine Intelligence, 19 (2), pp.153-158.
4. Pao, Y.H., 1989. Adaptive Pattern Recognition and Neural Networks, Addison Wesley, MA
5. Bishop, C.M., 1995. Neural Networks for Pattern Recognition, Oxford University Press, Oxford.
6. Reed, R., 1993. Pruning Algorithms - a survey. IEEE Trans. Neural Networks 5, 740-747.
7. Rumelhart, H., Hinton, G.E., Williams, R.J., 1986. Learning Internal Representation by Error Propagation, Parallel Distributed Processing, Rumelhart H., Mc Lelland J.L.(eds.), 318-362. MIT Press, Cambridge, MA
8. Van Genderen J.L., Lock, B.F., Vass, P.A., 1978. Remote Sensing: Statistical testing of thematic map accuracy, Remote Sensing of Environment, 7, pp. 3-14.
9. Kruse, F. A., Lefkoff, A. B., Boardman, J. B., Heidebrecht, K. B., Shapiro, A. T., Barloon, P. J., Goetz, A. F. H., 1993. The Spectral Image Processing System (SIPS) - Interactive Visualization and Analysis of Imaging spectrometer Data, Remote Sensing of Environment, 44, pp. 145-163.
10. ENVI, The Environment for Visualizing Images, Research Systems Inc., http://www.rsinc.com/envi
11. Vapnik V.N., Statistical Learning Theory. Wiley, New York, 1998.
12. Chih-Chung Chang and Chih-Jen Lin, LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.