In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Abstract—Many sensor network applications are tightly coupled with the geometric environment where the sensor nodes are deployed. The topological skeleton extraction has shown gr...
Hongbo Jiang, Wenping Liu, Dan Wang, Chen Tian, Xi...
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
We address the issue of providing highly informative annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a set of candidate ...
Abstract—In this paper we ask which properties of a distributed network can be computed from a few amount of local information provided by its nodes. The distributed model we con...