Wavelet Support Vector Machine

Lifu Zhang; Wen Zhou; Licheng Jiao

doi:10.1109/tsmcb.2003.811113

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JOURNAL ARTICLE

Wavelet Support Vector Machine

Lifu Zhang Wen Zhou Licheng Jiao

Year: 2004 Journal: IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) Vol: 34 (1)Pages: 34-39 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tsmcb.2003.811113

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Abstract

An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented. The wavelet kernel is a kind of multidimensional wavelet function that can approximate arbitrary nonlinear functions. The existence of wavelet kernels is proven by results of theoretic analysis. Computer simulations show the feasibility and validity of wavelet support vector machines (WSVMs) in regression and pattern recognition.

Keywords:

Wavelet Pattern recognition (psychology) Support vector machine Kernel method Artificial intelligence Kernel (algebra) Mathematics Computer science Cascade algorithm Stationary wavelet transform Discrete wavelet transform Relevance vector machine Radial basis function kernel Wavelet transform Wavelet packet decomposition Polynomial kernel Pure mathematics

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Topics

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Wavelet Support Vector Machine

Abstract

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