From sample similarity to ensemble similarity : probabilistic distance measures in reproducing kernel Hilbert space

This paper addresses the problem of characterizing ensemble similarity from sample similarity in a principled manner. Using reproducing kernel as a characterization of sample similarity, we suggest a probabilistic distance measure in the reproducing kernel Hilbert space (RKHS) as the ensemble simila...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 28(2006), 6 vom: 06. Juni, Seite 917-29
Auteur principal: Zhou, Shaohua Kevin (Auteur)
Autres auteurs: Chellappa, Rama
Format: Article
Langue:English
Publié: 2006
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article