83 search results - page 4 / 17 » GP-BayesFilters: Bayesian filtering using Gaussian process p... |
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Signal processing using over-complete representations has been an active research field in recent years. In this article, we study the following two related problems: (1) given tw...
NIPS
2007
13 years 9 months ago
2007
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
NIPS
2007
13 years 9 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...