Nonlinear feature extraction with radial basis functions using a weighted multidimensional scaling stress measure

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 1996, Pages 635-639

  Webb, Andrew R ^a  

^a DEFENCE SCIENCE AND TECHNOLOGY LABORATORY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; ITERATIVE METHODS; RADIAL BASIS FUNCTION NETWORKS;

MULTI-DIMENSIONAL SCALING; NONLINEAR FEATURE EXTRACTION; NONLINEAR FUNCTIONS; OPTIMISATIONS; RADIAL BASIS FUNCTIONS;

FEATURE EXTRACTION;

EID: 0003972765     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.547642     Document Type: Conference Paper

References (9)

1. G. Bennett. Determination of anaerobic threshold. The Canadian Journal of Statistics, 16(3):307-316, 1988.
2. J. Blue, G. Candela, P. Grother, R. Chellappa, and C. Wilson. Evaluation of pattern classifiers for fingerprint and ocr applications. Pattern Recognition. 27(4):484-501, 1994.
3. J. de Leeuw. Applications of convex analysis to multidimensional scaling. In J. Barra, F. Brodeau, G. Romier, and B. van Cutsem, editors, Recent Developments in Statistics, pages 133-145. North-Holland, Amsterdam, 1977.
4. D. Hand, F. Daley, A. Lunn, K. McConway, and E. Ostrowski. A Handbook of Small Data Sets. Chapman and Hall, London, 1994.
5. T. Lo, H. Leung, and J. Litva. Radial basis function neural network for direction-of -arrivals estimation. IEEE Signal Processing Letters, 1(2):45-47, 1994.
6. J. Sammon. A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, 18(5):401- 409, 1969.
7. A. Webb. Multidimensional scaling by iterative majorisation using radial basis functions. Pattern Recognition, 28(5):753-759, 1995.
8. A. Webb. An approach to nonlinear principal components analysis using radially-symmetric kernel functions. Statistics and Computing, 1996. to appear.
9. A, Webb and S. Shannon. Adaptive radial basis functions. In Internattonal Conference on Pattern Recognztion, Vienna, 1996. IEEE.