Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"importance resampling"”.
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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 …
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A bayesian approach to wireless location problems
… 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 full …
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Statistical models for noise-robust speech recognition
… expression, and then applies sequential importance resampling. Though it is too slow to use for recognition, it enables a more fine-grained assessment of compensation techniques, based on the KL divergence to the ideal compensation for one component. The KL divergence proves to predict …
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Sampling in computer vision and Bayesian nonparametric mixtures
… to update particle weights or use of sequential importance resampling. Empirical results demonstrate that PGIMH is approximately 104 times faster than previous shape sampling approaches and that it improves results in segmentation, boundary detection, and object tracking. In the second half of …
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Estimation and stability of nonlinear control systems under intermittent information with applications to multi-agent robotics
… than the Unscented Kalman Filter and Sampling Importance Resampling Particle Filter, while providing comparable estimation performance in the presence of intermittent information. Third, we investigate stability of nonlinear control systems under intermittent information. We replace the …
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Efficient solution of the Fokker-Planck Equation via smooth particle hydrodynamics for nonlinear estimation
… FPE is presented in detail, along with a resampling methodology developed to efficiently perform measurement likelihood updates without degeneracy of the SPH particle field occurring. This new FPE-SPH Filter is compared directly to the Extended Kalman Filter and Particle Filter with …