38 search results - page 3 / 8 » Segmenting Cardiopulmonary Images Using Manifold Learning wi... |
NIPS
2004
15 years 1 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
119
click to vote
SCIA
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
145
click to vote
PAMI
2010
14 years 10 months ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
102
click to vote
SCALESPACE
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
SCALESPACE
2007
Springer
15 years 5 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...