Kernel Methods in Bioengineering Signal and Image Processing

Kernel Methods in Bioengineering, Signal and Image Processing by Gustavo Camps-Valls
English | 30 Jun. 2007 | ISBN: 1599040425 | 432 Pages | PDF | 11 MB
In the last decade, a number of powerful kernel-based learning methods have been proposed in the machine learning community: support vector machines (SVMs), kernel fisher discriminant (KFD) analysis, kernel PCA/ICA, kernel mutual information, kernel k-means, and kernel ARMA.
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Title: Kernel Methods in Bioengineering Signal and Image Processing
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