384 search results - page 3 / 77 » Segmentation Informed by Manifold Learning |
MICCAI
2007
Springer
14 years 6 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
AAAI
2008
13 years 7 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
PRL
2010
13 years 3 months ago
2010
ISBI
2011
IEEE
12 years 9 months ago
2011
IEEE
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...