88 search results - page 1 / 18 » Gaussian process product models for nonparametric nonstation... |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Practical schemes for distributed video coding with side information at the decoder need to consider non-standard correlation models in order to take non-stationarities into accou...
Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
RSS
2007
13 years 6 months ago
2007
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...