Generalized sampling with functional principal components for high-resolution random field estimation.
Milana GataricPublished in: CoRR (2020)
Keyphrases
- principal components
- random fields
- high resolution
- parameter estimation
- gibbs sampler
- principal component analysis
- markov random field
- random field models
- non stationary
- conditional random fields
- dimensionality reduction
- maximum entropy
- markov fields
- principal component regression
- super resolution
- random field model
- probabilistic model
- autoregressive
- image processing
- kernel space
- least squares
- density estimation
- machine learning
- markov chain monte carlo
- higher order
- covariance matrix
- partial least squares
- multiscale
- feature set
- maximum likelihood
- information retrieval
- expectation maximization