Title :
Support vector machines on the space of Walsh functions and their properties
Author :
Fazekas, A. ; Kotropoulos, C. ; Buciu, I. ; Pitas, I.
Author_Institution :
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece
Abstract :
Support vector machine is a special kind of learning machine, proposed by Vapnik. The learning capability of support vector machines depends on the Vapnik-Chervonenkis (VC) dimension of the kernel function used. In this paper, we construct a new kernel function for support vector machine, which is based on Walsh functions. We prove some theoretical results related to the VC-dimension of the support vector machines which are built in the space of the Walsh functions. First experimental results for face detection are reported
Keywords :
Walsh functions; face recognition; learning automata; Vapnik-Chervonenkis dimension; Walsh function space; face detection; kernel function; learning machine; support vector machines; Face detection; Hilbert space; Informatics; Kernel; Machine learning; Pattern recognition; Polynomials; Probability density function; Support vector machines; Testing;
Conference_Titel :
Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Conference_Location :
Pula
Print_ISBN :
953-96769-4-0
DOI :
10.1109/ISPA.2001.938601
