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136
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FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
15 years 10 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
130
Voted
CSDA
2010
118views more  CSDA 2010»
15 years 3 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
117
Voted
BMVC
2001
15 years 6 months ago
Graph Matching using Adjacency Matrix Markov Chains
This paper describes a spectral method for graph-matching. We adopt a graphical models viewpoint in which the graph adjacency matrix is taken to represent the transition probabili...
Antonio Robles-Kelly, Edwin R. Hancock
136
Voted
ISAAC
2005
Springer
111views Algorithms» more  ISAAC 2005»
15 years 9 months ago
Boosting Spectral Partitioning by Sampling and Iteration
A partition of a set of n items is a grouping of the items into k disjoint classes of equal size. Any partition can be modeled as a graph: the items become the vertices of the grap...
Joachim Giesen, Dieter Mitsche
137
Voted
COCOON
2005
Springer
15 years 9 months ago
Construction of Scale-Free Networks with Partial Information
It has recently been observed that the node degrees of many real-world large-scale networks, such as the Internet and the Web, follow a power law distributions. Since the classical...
Jianyang Zeng, Wen-Jing Hsu, Suiping Zhou