440 search results - page 7 / 88 » Learning the structure of manifolds using random projections |
CVPR
1997
IEEE
13 years 11 months ago
1997
IEEE
As the field of view of a picture is much smaller than our own visual field of view, it is common to paste together several pictures to create a panoramic mosaic having a larger...
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...
ALT
2007
Springer
14 years 4 months ago
2007
Springer
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
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 ...