Adaptive manifold learning

Manifold learning algorithms seek to find a low-dimensional parameterization of high-dimensional data. They heavily rely on the notion of what can be considered as local, how accurately the manifold can be approximated locally, and, last but not least, how the local structures can be patched togethe...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 34(2012), 2 vom: 13. Feb., Seite 253-65
Auteur principal:	Zhang, Zhenyue (Auteur)
Autres auteurs:	Wang, Jing, Zha, Hongyuan
Format:	Article en ligne
Langue:	English
Publié:	2012
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.