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» Graph Matching using Adjacency Matrix Markov Chains
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WWW
2005
ACM
14 years 6 months ago
TruRank: taking PageRank to the limit
PageRank is defined as the stationary state of a Markov chain depending on a damping factor that spreads uniformly part of the rank. The choice of is eminently empirical, and in...
Sebastiano Vigna
FOCS
1999
IEEE
13 years 9 months ago
Markovian Coupling vs. Conductance for the Jerrum-Sinclair Chain
We show that no Markovian Coupling argument can prove rapid mixing of the Jerrum-Sinclair Markov chain for sampling almost uniformly from the set of perfect and near perfect match...
V. S. Anil Kumar, H. Ramesh
PR
2008
206views more  PR 2008»
13 years 5 months ago
A study of graph spectra for comparing graphs and trees
The spectrum of a graph has been widely used in graph theory to characterise the properties of a graph and extract information from its structure. It has also been employed as a g...
Richard C. Wilson, Ping Zhu
ICPR
2000
IEEE
14 years 6 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
CIARP
2009
Springer
13 years 3 months ago
A Computer-Assisted Colorization Approach Based on Efficient Belief Propagation and Graph Matching
Abstract. Region-based approaches have been proposed to computerassisted colorization problem, typically using shape similarity and topology relations between regions. Given a colo...
Alexandre Noma, Luiz Velho, Roberto M. Cesar