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NIPS
2004
13 years 7 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
ICCV
2005
IEEE
13 years 11 months ago
Appearance Manifold of Facial Expression
This paper investigates the appearance manifold of facial expression: embedding image sequences of facial expression from the high dimensional appearance feature space to a low dim...
Caifeng Shan, Shaogang Gong, Peter W. McOwan
CVPR
2008
IEEE
14 years 7 days ago
Manifold-Manifold Distance with application to face recognition based on image set
In this paper, we address the problem of classifying image sets, each of which contains images belonging to the same class but covering large variations in, for instance, viewpoin...
Ruiping Wang, Shiguang Shan, Xilin Chen, Wen Gao
ICASSP
2007
IEEE
14 years 9 hour ago
Breaking the Limitation of Manifold Analysis for Super-Resolution of Facial Images
A novel method for robust super-resolution offace images is proposed in this paper. Face super-resolution is a particular interest in video surveillance where face images have typ...
Sung Won Park, Marios Savvides
MICCAI
2010
Springer
13 years 4 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...