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» Monte Carlo Methods for Process Algebra
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ICIP
2008
IEEE
14 years 1 months ago
Blind restoration of blurred photographs via AR modelling and MCMC
We propose a new image and blur prior model, based on nonstationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sa...
Tom E. Bishop, Rafael Molina, James R. Hopgood
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
DAC
2011
ACM
12 years 7 months ago
Fast non-monte-carlo transient noise analysis for high-precision analog/RF circuits by stochastic orthogonal polynomials
Stochastic device noise has become a significant challenge for high-precision analog/RF circuits, and it is particularly difficult to correctly include both white noise and flic...
Fang Gong, Hao Yu, Lei He
IPPS
2008
IEEE
14 years 1 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
ICIP
2009
IEEE
14 years 8 months ago
Nl-means And Aggregation Procedures
Patch based denoising methods, such as the NL-Means, have emerged recently as simple and efficient denoising methods. This paper provides a new insight on those methods by showing...