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CEC
2010
IEEE
13 years 6 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
14 years 4 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
CAV
2009
Springer
187views Hardware» more  CAV 2009»
14 years 8 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann
ICAT
2003
IEEE
14 years 23 days ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...
ICPR
2002
IEEE
14 years 12 days ago
Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
Naoyuki Ichimura