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» On Using Monte Carlo Methods for Scheduling
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ICML
2002
IEEE
14 years 8 months ago
Univariate Polynomial Inference by Monte Carlo Message Length Approximation
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison
TITB
2010
151views Education» more  TITB 2010»
13 years 2 months ago
An adaptive Monte Carlo approach to phase-based multimodal image registration
In this paper, a novel multiresolution algorithm for registering multimodal images, using an adaptive Monte Carlo scheme is presented. At each iteration, random solution candidates...
Alexander Wong
ACG
2003
Springer
14 years 25 days ago
Monte-Carlo Go Developments
We describe two Go programs,  ¢¡¤£¦¥ and  ¢¡¤§¨£ , developed by a Monte-Carlo approach that is simpler than Bruegmann’s (1993) approach. Our method is based on Abra...
Bruno Bouzy, Bernard Helmstetter
SIGGRAPH
1995
ACM
13 years 11 months ago
Optimally combining sampling techniques for Monte Carlo rendering
Monte Carlo integration is a powerful technique for the evaluation of difficult integrals. Applications in rendering include distribution ray tracing, Monte Carlo path tracing, a...
Eric Veach, Leonidas J. Guibas
ICCAD
1992
IEEE
148views Hardware» more  ICCAD 1992»
13 years 11 months ago
McPOWER: a Monte Carlo approach to power estimation
Excessive power dissipation in integrated circuits causes overheating and can lead to soft errors and or permanent damage. The severity of the problem increases in proportion to t...
Richard Burch, Farid N. Najm, Ping Yang, Timothy N...