566 search results - page 18 / 114 » Nonlinear Predictive Control with a Gaussian Process Model |
126
Voted
DSMML
2004
Springer
15 years 7 months ago
2004
Springer
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
125
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ICCV
2011
IEEE
14 years 1 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
CDC
2010
IEEE
14 years 8 months ago
2010
IEEE
This paper presents a novel approach to the estimation of a general class of dynamic nonlinear system models. The main contribution is the use of a tool from mathematical statistic...
119
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NIPS
2004
15 years 3 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
139
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ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...