190 search results - page 18 / 38 » Markov Random Fields with Efficient Approximations |
107
click to vote
UAI
2004
15 years 1 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
126
click to vote
ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper, we present a novel algorithm for partial
intrinsic symmetry detection in 3D geometry. Unlike previous
work, our algorithm is based on a conceptually simple
and st...
CVPR
2006
IEEE
15 years 5 months ago
2006
IEEE
In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes:...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the ...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....