GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models.

Jonathan Ko Dieter Fox

Published in: Auton. Robots (2009)

Keyphrases

gaussian process
covariance function
gaussian process models
bayesian filtering
sparse approximations
gaussian processes
gaussian process regression

model selection
bayesian framework
regression model
hyperparameters
latent variables
approximate inference

kalman filter
particle filtering
object tracking
likelihood function
visual tracking
semi supervised

cross validation
particle filter
maximum likelihood
computer vision
em algorithm
graph cuts