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ICPR
2008
IEEE
16 years 1 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ICCAD
1996
IEEE
88views Hardware» more  ICCAD 1996»
15 years 4 months ago
Hierarchical statistical characterization of mixed-signal circuits using behavioral modeling
A methodology for hierarchicalstatistical circuit characterization which does not rely upon circuit-level Monte Carlo simulation is presented. The methodology uses principalcompon...
Eric Felt, Stefano Zanella, Carlo Guardiani, Alber...
71
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NIPS
2007
15 years 1 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths
UAI
2001
15 years 1 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
FLAIRS
2001
15 years 1 months ago
A Practical Markov Chain Monte Carlo Approach to Decision Problems
Decisionand optimizationproblemsinvolvinggraphsarise in manyareas of artificial intelligence, including probabilistic networks, robot navigation, and network design. Manysuch prob...
Timothy Huang, Yuriy Nevmyvaka