Global ETD Search
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Showing 1 to 3 of 3 for “"sampling importance resampling"”.
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A bayesian approach to wireless location problems
… versions of this model, in combination with sampling/importance resampling and particle filter algorithms, are suitable for the real-time estimation and tracking of moving objects. It has been demonstrated that "plug-in" versions of the bivariate Bayesian spline model perform as good as the …
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Estimation and stability of nonlinear control systems under intermittent information with applications to multi-agent robotics
… in swimming pools. Second, we develop adaptive sampling of targets positions in order to minimize energy consumption, while satisfying performance guarantees such as increased probability of detection over time, and no-escape conditions. A parsimonious predictor-corrector tracking filter, that …
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Importance Resampling for Global Illumination
… form of Monte Carlo integration called Resampled Importance Sampling. It is based on the importance resampling sample generation technique. Resampled Importance Sampling can lead to significant variance reduction over standard Monte Carlo integration for common rendering problems. We show how to …