30 search results - page 6 / 6 » Synchronous Random Fields and Image Restoration |
137
Voted
TIT
2008
15 years 3 months ago
2008
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
140
Voted
PAMI
2007
15 years 3 months ago
2007
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
153
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
We introduce a new technique that can reduce any
higher-order Markov random field with binary labels into
a first-order one that has the same minima as the original.
Moreover, w...
142
Voted
CVPR
2010
IEEE
16 years 19 hour ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
142
Voted
ECCV
2006
Springer
16 years 5 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...