Skip to main content
Article thumbnail
Location of Repository

Incorporating invariances in nonlinear support vector machines

By Olivier Chapelle and Bernhard Schölkopf

Abstract

The choice of an SVM kernel corresponds to the choice of a representation of the data in a feature space and, to improve performance, it should therefore incorporate prior knowledge such as known transformation invariances. We propose a technique which extends earlier work and aims at incorporating invariances in nonlinear kernels. We show on a digit recognition task that the proposed approach is superior to the Virtual Support Vector method, which previously had been the method of choice

Year: 2001
OAI identifier: oai:CiteSeerX.psu:10.1.1.190.7876
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://olivier.chapelle.cc/pub... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.