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» Speeeding Up Markov Chain Monte Carlo Algorithms
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JCC
2008
131views more  JCC 2008»
13 years 7 months ago
An optimized initialization algorithm to ensure accuracy in quantum Monte Carlo calculations
: Quantum Monte Carlo (QMC) calculations require the generation of random electronic configurations with respect to a desired probability density, usually the square of the magnitu...
Daniel R. Fisher, David R. Kent IV, Michael T. Fel...
ECCV
2002
Springer
14 years 9 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu
ISAAC
2003
Springer
101views Algorithms» more  ISAAC 2003»
14 years 18 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
BMVC
2000
13 years 8 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green
AAAI
2006
13 years 8 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...