445 search results - page 36 / 89 » Learning Image Structures for Optimizing Disparity Estimatio... |
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...
SIAMIS
2010
13 years 2 months ago
2010
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
CVPR
2008
IEEE
14 years 2 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
EMMCVPR
2001
Springer
14 years 5 days ago
2001
Springer
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...