Maximum Correntropy Criterion for Robust Face Recognition

In this paper, we present a sparse correntropy framework for computing robust sparse representations of face images for recognition. Compared with the state-of-the-art l(1)norm-based sparse representation classifier (SRC), which assumes that noise also has a sparse representation, our sparse algorit...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1998. - 33(2011), 8 vom: 07. Aug., Seite 1561-76
Auteur principal: He, Ran (Auteur)
Autres auteurs: Zheng, Wei-Shi, Hu, Bao-Gang
Format: Article en ligne
Langue:English
Publié: 2011
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article Research Support, Non-U.S. Gov't