Supervised Classification Based on Copula Functions

Abstract

This paper exposes the research being done about the incorporation of copula functions in supervised classification. It is shown, by means of pixel classification, the advantages that modeling dependencies provides to supervised classification and the benefits of doing it through copula functions which are not limited to linear dependencies. The experiments executed so far, show positive results by having improved the performance of the classifiers that do not have copulas incorporated.