Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps.
Ignacio TorrobaChristopher Iliffe SpragueJohn FolkessonPublished in: CoRR (2022)
Keyphrases
- gaussian process
- gaussian processes
- hyperparameters
- gaussian process regression
- regression model
- bayesian framework
- model selection
- gaussian process classification
- approximate inference
- latent variables
- gaussian process models
- probabilistic model
- generative model
- posterior probability
- variational methods
- bayesian networks
- image segmentation
- semi supervised
- covariance function
- expectation propagation
- marginal likelihood
- fully bayesian
- sparse approximations
- noise level
- latent space
- clustering algorithm
- maximum likelihood
- edge detection
- high dimensional
- training data
- decision trees