Scalar field reconstruction based on the Gaussian process and adaptive sampling.
Porsteinn B. JonssonJeonghyeon WangJinwhan KimPublished in: URAI (2017)
Keyphrases
- gaussian process
- adaptive sampling
- scalar field
- random sampling
- hyperparameters
- gaussian processes
- monte carlo
- bayesian framework
- regression model
- vector field
- model selection
- critical points
- approximate inference
- latent variables
- semi supervised
- high resolution
- image reconstruction
- active learning
- scale space
- closed form
- machine learning
- similarity measure
- prior knowledge
- image processing
- probabilistic model
- generative model
- markov chain
- least squares