Fully-Probabilistic Terrain Modelling and Localization With Stochastic Variational Gaussian Process Maps.
Ignacio TorrobaChristopher Iliffe SpragueJohn FolkessonPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- gaussian process
- gaussian processes
- approximate inference
- gaussian process regression
- regression model
- bayesian framework
- latent variables
- gaussian process classification
- model selection
- probabilistic model
- semi supervised
- covariance function
- variational methods
- hyperparameters
- gaussian process models
- generative model
- marginal likelihood
- bayesian networks
- fully bayesian
- posterior probability
- conditional probabilities
- graphical models
- expectation propagation
- sparse approximations
- learning algorithm
- free energy
- latent variable models
- probability distribution
- image segmentation