45 search results - page 4 / 9 » Efficient Belief Propagation with Learned Higher-Order Marko... |
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
ECCV
2008
Springer
14 years 4 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 ...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
ICPR
2008
IEEE
14 years 6 days ago
2008
IEEE
In patch based face super-resolution method, the patch size is usually very small, and neighbor patches’ relationship via overlapped regions is only to keep smoothness of recons...
ICASSP
2009
IEEE
13 years 3 months ago
2009
IEEE
Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...