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ISAAC
2003
Springer
101views Algorithms» more  ISAAC 2003»
14 years 24 days ago
Rapid Mixing of Several Markov Chains for a Hard-Core Model
The mixing properties of several Markov chains to sample from configurations of a hard-core model have been examined. The model is familiar in the statistical physics of the liqui...
Ravi Kannan, Michael W. Mahoney, Ravi Montenegro
CVPR
2003
IEEE
14 years 9 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
TPDS
2008
96views more  TPDS 2008»
13 years 7 months ago
Stochastic Graph Processes for Performance Evaluation of Content Delivery Applications in Overlay Networks
This paper proposes a new methodology to model the distribution of finite size content to a group of users connected through an overlay network. Our methodology describes the distr...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 4 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
CVPR
2006
IEEE
14 years 9 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin