Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.
Marco LorenziGabriel ZieglerDaniel C. AlexanderSébastien OurselinPublished in: MLMMI@ICML (2015)
Keyphrases
- non stationary
- gaussian process
- spatio temporal
- covariance function
- gaussian processes
- regression model
- gaussian process regression
- model selection
- bayesian framework
- latent variables
- moving objects
- semi supervised
- hyperparameters
- expectation propagation
- gaussian process models
- autoregressive
- image sequences
- empirical mode decomposition
- maximum likelihood
- image processing
- pairwise
- multiscale
- learning algorithm
- machine learning