Karhunen-Loéve Decomposition of Isotropic Gaussian Random Fields Using a Tensor Approximation of Autocovariance Kernel.
Michal BéresPublished in: HPCSE (2017)
Keyphrases
- random fields
- series expansion
- random field model
- marginal distributions
- partition function
- basis functions
- markov random field
- tensor product
- tensor decomposition
- nonparametric density estimation
- parameter estimation
- polynomial kernels
- gaussian kernel
- maximum entropy
- non stationary
- conditional random fields
- random field models
- probabilistic model
- gaussian convolution
- markov fields
- kernel function
- higher order
- maximum likelihood
- reproducing kernel hilbert space
- gibbs sampler
- learning objects
- support vector
- multiscale
- gaussian distribution
- gaussian mixture model
- linear combination
- feature space
- positive definite
- diffusion tensor
- information retrieval
- bayesian networks