Personal tools
You are here: Home Publications On the Generalization of Kernel Machines
Document Actions

Navarrete P and Ruiz-del-Solar J (2002)

On the Generalization of Kernel Machines

Pattern Recognition with Support Vector Machines, Springer, 2388:24–39.

Taking advantage of the linear properties in high dimensional spaces, a general kind of kernel machines is formulated under a unified framework. These methods include KPCA, KFD and SVM. The theoretical framework will show a strong connection between KFD and SVM. The main practical result under the proposed framework is the solution of KFD for an arbitrary number of classes. The framework allows also the formulation of multiclass-SVM. The main goal of this article is focused in finding new solutions and not in the optimization of them.

by admin last modified 2007-01-31 11:09

Powered by Plone CMS, the Open Source Content Management System