GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models.
Jonathan KoDieter FoxPublished in: IROS (2008)
Keyphrases
- gaussian process
- covariance function
- gaussian process models
- bayesian filtering
- sparse approximations
- gaussian processes
- gaussian process regression
- regression model
- model selection
- approximate inference
- bayesian framework
- latent variables
- kalman filter
- particle filtering
- likelihood function
- hyperparameters
- semi supervised
- object tracking
- machine learning
- visual tracking
- sparse representation
- generative model
- prior knowledge