Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields.
Daniel KressnerRajesh KumarFabio NobileChristine ToblerPublished in: SIAM/ASA J. Uncertain. Quantification (2015)
Keyphrases
- high order
- low rank
- random fields
- markov random field
- higher order
- marginal distributions
- frobenius norm
- conditional random fields
- maximum entropy
- parameter estimation
- pairwise
- matrix completion
- tensor decomposition
- trace norm
- non stationary
- tensor analysis
- graph cuts
- probabilistic model
- feature selection
- image restoration
- maximum likelihood
- computer vision
- basis functions
- machine learning
- linear combination
- kullback leibler divergence
- natural images
- semi supervised
- image segmentation