2190 search results - page 121 / 438 » Mixtures of Gaussian Processes |
159
Voted
IROS
2008
IEEE
15 years 11 months ago
2008
IEEE
— The paper describes a navigation algorithm for dynamic, uncertain environment. Moving obstacles are supposed to move on typical patterns which are pre-learned and are represent...
217
Voted
MLMI
2007
Springer
15 years 10 months ago
2007
Springer
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
157
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ESSMAC
2003
Springer
15 years 9 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
136
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ESSMAC
2003
Springer
15 years 9 months ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
133
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CDC
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...