Abstract

This tutorial provides an introduction to kernel based methods like Support Vector Machines (SVMs), Kernel Fisher Discriminant Analysis, Kernel Principal Component Analysis (PCA), an overview of the statistical learning theory, as well as recent and interesting applications of these algorithms.