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» Mixing Time of Exponential Random Graphs
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CP
2004
Springer
13 years 10 months ago
How Much Backtracking Does It Take to Color Random Graphs? Rigorous Results on Heavy Tails
Many backtracking algorithms exhibit heavy-tailed distributions, in which their running time is often much longer than their median. We analyze the behavior of two natural variant...
Haixia Jia, Cristopher Moore
EMMCVPR
2007
Springer
13 years 11 months ago
Bayesian Inference for Layer Representation with Mixed Markov Random Field
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang
ISTCS
1993
Springer
13 years 9 months ago
Random Walks on Colored Graphs
This thesis introduces a model of a random walk on a colored undirected graph. Such a graph has a single vertex set and   distinct sets of edges, each of which has a color. A par...
Anne Condon, Diane Hernek
STOC
1997
ACM
111views Algorithms» more  STOC 1997»
13 years 9 months ago
The Swendsen-Wang Process Does Not Always Mix Rapidly
The Swendsen-Wang process provides one possible dynamics for the Qstate Potts model in statistical physics. Computer simulations of this process are widely used to estimate the ex...
Vivek Gore, Mark Jerrum
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