Cluster based RBF Kernel for Support Vector Machines

12 Aug 2014Wojciech Marian CzarneckiJacek Tabor

In the classical Gaussian SVM classification we use the feature space projection transforming points to normal distributions with fixed covariance matrices (identity in the standard RBF and the covariance of the whole dataset in Mahalanobis RBF). In this paper we add additional information to Gaussian SVM by considering local geometry-dependent feature space projection... (read more)

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