29 search results - page 2 / 6 » Wavelet Belief Propagation for Large Scale Inference Problem... |
ECCV
2006
Springer
14 years 8 months ago
2006
Springer
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
EMNLP
2011
12 years 6 months ago
2011
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
JMLR
2006
13 years 6 months ago
2006
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
CVPR
2007
IEEE
14 years 8 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....
WABI
2007
Springer
14 years 15 days ago
2007
Springer
Abstract. Parameter estimation of large bio-pathway models is an important and difficult problem. To reduce the prohibitive computational cost, one approach is to decompose a large...