Semi-supervised classification via local spline regression

This paper presents local spline regression for semi-supervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the data points directly to be class labels. The spline is composed of polynomials and Green's functions. It is smooth, nonline...

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Détails bibliographiques
Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1998. - 32(2010), 11 vom: 01. Nov., Seite 2039-53
Auteur principal: Xiang, Shiming (Auteur)
Autres auteurs: Nie, Feiping, Zhang, Changshui
Format: Article en ligne
Langue:English
Publié: 2010
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article Research Support, Non-U.S. Gov't