180 search results - page 2 / 36 » Relational Graph Labelling Using Learning Techniques and Mar... |
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
ICCV
2007
IEEE
15 years 24 days ago
2007
IEEE
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Much research effort on Automatic Image Annotation
(AIA) has been focused on Generative Model, due to its
well formed theory and competitive performance as compared
with many we...
ECML
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
ECCV
2006
Springer
15 years 22 days ago
2006
Springer
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...