Inductive robust principal component analysis

In this paper we address the error correction problem that is to uncover the low-dimensional subspace structure from high-dimensional observations, which are possibly corrupted by errors. When the errors are of Gaussian distribution, Principal Component Analysis (PCA) can find the optimal (in terms...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 8 vom: 21. Aug., Seite 3794-800
Auteur principal:	Bao, Bing-Kun (Auteur)
Autres auteurs:	Liu, Guangcan, Xu, Changsheng, Yan, Shuicheng
Format:	Article en ligne
Langue:	English
Publié:	2012
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article Research Support, Non-U.S. Gov't