CISS
2008
IEEE
14 years 7 months ago
2008
IEEE
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
CVPR
2010
IEEE
14 years 8 months ago
2010
IEEE
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
We propose a binary Markov Random Field (MRF) model
that assigns high probability to regions in the image domain
consisting of an unknown number of circles of a given radius.
We...
ICIAP
2005
ACM
15 years 16 days ago
2005
ACM
Abstract. This paper presents an optimisation technique to select automatically a set of control parameters for a Markov Random Field applied to stereo matching. The method is base...
ICML
2004
IEEE
15 years 1 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
ICPR
2002
IEEE
15 years 1 months ago
2002
IEEE
ICPR
2002
IEEE
15 years 1 months ago
2002
IEEE
This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...