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» On Using Monte Carlo Methods for Scheduling
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CG
2005
Springer
13 years 7 months ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang
BMCBI
2005
106views more  BMCBI 2005»
13 years 7 months ago
SIMPROT: Using an empirically determined indel distribution in simulations of protein evolution
Background: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis an...
Andy Pang, Andrew D. Smith, Paulo A. S. Nuin, Elis...
IJCV
2008
282views more  IJCV 2008»
15 years 5 days ago
Stereo Matching Using Population-Based MCMC
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
Wonsik Kim (Seoul National University), Joonyoung ...
ICCAD
2001
IEEE
126views Hardware» more  ICCAD 2001»
14 years 4 months ago
Constraint Satisfaction for Relative Location Assignment and Scheduling
Tight data- and timing constraints are imposed by communication and multimedia applications. The architecture for the embedded processor imply resource constraints. Instead of ran...
Carlos A. Alba Pinto, Bart Mesman, Jochen A. G. Je...
PRL
2000
182views more  PRL 2000»
13 years 7 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen