Introduction - If you have any usage issues, please Google them yourself
This is a Matlab/C++ toolbox of code for learning and inference with graphical models. It is focused on parameter learning using marginalization in the high-treewidth setting. Though the code is, in principle, domain independent, I ve developed it with vision problems in mind, particularly for learning Conditional Random Fields (CRFs)