273 search results - page 16 / 55 » Global Connectivity Potentials for Random Field Models |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
CVPR
2011
IEEE
13 years 4 days ago
2011
IEEE
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
SIAMAM
2008
13 years 8 months ago
2008
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes of neural field equ...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
In this paper, we present a method using pixel-level information, local region-level information and global-level information to remove shadow. At the pixel-level, we employ GMM t...