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» Graphical Models for Graph Matching
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JMLR
2010
194views more  JMLR 2010»
13 years 2 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
UAI
2008
13 years 9 months ago
Complexity of Inference in Graphical Models
It is well-known that inference in graphical models is hard in the worst case, but tractable for models with bounded treewidth. We ask whether treewidth is the only structural cri...
Venkat Chandrasekaran, Nathan Srebro, Prahladh Har...
ENTCS
2006
125views more  ENTCS 2006»
13 years 7 months ago
Hoare vs Milner: Comparing Synchronizations in a Graphical Framework With Mobility
We compare the expressive power of Hoare (i.e., CSP style) and Milner (i.e., CCS style) synchronizations for defining graph transformations in a framework where edges can perform ...
Ivan Lanese, Ugo Montanari
ICDE
2008
IEEE
159views Database» more  ICDE 2008»
14 years 9 months ago
Fast Graph Pattern Matching
Due to rapid growth of the Internet technology and new scientific/technological advances, the number of applications that model data as graphs increases, because graphs have high e...
Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S...
EMMCVPR
2001
Springer
14 years 3 days ago
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
Endika Bengoetxea, Pedro Larrañaga, Isabell...