Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs.
Tales ImbiribaGerald LaMountainPeng WuDeniz ErdogmusPau ClosasPublished in: CAMSAP (2019)
Keyphrases
- change detection
- gaussian process
- covariance function
- expectation propagation
- gaussian processes
- gaussian process regression
- remote sensing
- non stationary
- approximate inference
- regression model
- remote sensing images
- hyperparameters
- latent variables
- bayesian framework
- semi supervised
- model selection
- image registration
- data streams
- variational bayes
- gaussian process models
- bayesian inference
- probabilistic inference
- belief propagation
- em algorithm
- higher order
- pattern recognition
- multiscale
- high quality