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