425 search results - page 8 / 85 » A Semi-Supervised Gaussian Mixture Model for Image Segmentat... |
AIPR
2002
IEEE
13 years 11 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
ISBI
2004
IEEE
14 years 7 months ago
2004
IEEE
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
PAMI
2008
13 years 6 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
DAGM
2010
Springer
13 years 7 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...