28 search results - page 3 / 6 » Hierarchical Conditional Random Field for Multi-class Image ... |
AIA
2007
13 years 8 months ago
2007
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
CVPR
2008
IEEE
13 years 7 months ago
2008
IEEE
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
SIAMIS
2010
13 years 2 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...