Support vector machines on the space of Walsh functions and their properties

International Symposium on Image and Signal Processing and Analysis, ISPA

Volumn 2001-January, Issue , 2001, Pages 43-48

  Fazekas, A ^a,b   Kotropoulos, C ^a   Buciu, I ^a   Pitas, I ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b UNIVERSITY OF DEBRECEN   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0012707167     PISSN: 18455921     EISSN: 18492266     Source Type: Conference Proceeding    
DOI: 10.1109/ISPA.2001.938601     Document Type: Conference Paper

References (7)

1. V. N. Vapnik. Statistical Learning Theory. John Wiley & Sons, New York, 1998.
2. F. Schipp, W. R. Wade, P. Simon and J. Pál. Walsh Series: An Introduction to Dyadic Harmonic Analysis. Adam Hilger, Budapest, 1990.
3. A. Fazekas and A. Hajdu. Recognizing typeset documents using Walsh transformation, Journal of Computing and Information Technology, acceptedfor publication, 2000.
4. R. C. Gonzalez and R. E. Woods. Digital Image Processing. Addison-Wesley, New York, 1993.
5. L. Devroye, L. Györfi and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Springer-Verlag, New York, 1996.
6. S. Gunn. Support vector machines for classification and regression, ISIS Technical Report ISIS-1-98, Image Speech Intelligent System Research Group, University of Southapton, 1998.
7. K. Fukunaga. Introduction to Statistical Pattern Recognition. Academic Press, San Diego, 1990.