PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Multi-class support vector machines: a new approach
Jeronimo Arenas-Garcia and Fernando Perez-Cruz
In: ICASSP, 6-10 April 2003, Hong Kong.


We propose a new approach for solving multiclass problems with support vector machines. We modify the existing technique to properly reduce the empirical error, therefore we will be ideally able to outperform the previously proposed scheme for multi-class SVMs. The proposed approach also provides solutions with a significant reduction in the number of support vectors, which is an important feature for fast systems.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:525
Deposited By:Fernando Perez-Cruz
Deposited On:24 December 2004