Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity.
Sam CoveneyCesare CorradoCaroline H. RoneyDaniel O'HareSteven E. WilliamsMark D. O'NeillSteven A. NiedererRichard H. ClaytonJeremy E. OakleyRichard D. WilkinsonPublished in: CoRR (2020)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- bayesian framework
- semi supervised
- latent variables
- gaussian process classification
- approximate inference
- model selection
- probabilistic model
- covariance function
- hyperparameters
- gaussian process models
- latent space
- manifold learning
- generative model
- bayesian networks
- low dimensional
- expectation propagation
- sparse approximations
- cross validation
- lower dimensional
- non stationary
- optical flow
- feature space