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» Topology for Distributed Inference on Graphs
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ICIP
2008
IEEE
16 years 1 months ago
Variational Bayesian image processing on stochastic factor graphs
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...
Xin Li
INFOCOM
2009
IEEE
15 years 6 months ago
CASE: Connectivity-Based Skeleton Extraction in Wireless Sensor Networks
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...
JMLR
2006
118views more  JMLR 2006»
14 years 11 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
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...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
BIBE
2005
IEEE
115views Bioinformatics» more  BIBE 2005»
15 years 5 months ago
GOMIT: A Generic and Adaptive Annotation Algorithm Based on Gene Ontology Term Distributions
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 ...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
CORR
2010
Springer
151views Education» more  CORR 2010»
14 years 10 months ago
Adding a referee to an interconnection network: What can(not) be computed in one round
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...
Florent Becker, Martín Matamala, Nicolas Ni...