468 search results - page 22 / 94 » Riemannian Manifold Learning |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
EMMCVPR
2005
Springer
14 years 1 months ago
2005
Springer
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
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...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
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...