Flexible manifold embedding : a framework for semi-supervised and unsupervised dimension reduction

We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the new data points. For semi-supervised dimension reduction, we aim to find the optimal prediction labels F for all the tra...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 19(2010), 7 vom: 31. Juli, Seite 1921-32
Auteur principal:	Nie, Feiping (Auteur)
Autres auteurs:	Xu, Dong, Tsang, Ivor Wai-Hung, Zhang, Changshui
Format:	Article en ligne
Langue:	English
Publié:	2010
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