Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models.
Daniel S. LevineJonathan P. HowPublished in: UAI (2014)
Keyphrases
- gaussian graphical models
- high dimensional
- graphical models
- belief propagation
- low dimensional
- probabilistic model
- dimensionality reduction
- linear models
- probabilistic inference
- graph cuts
- variable selection
- bayesian networks
- feature space
- nearest neighbor
- denoising
- high dimensionality
- data points
- stereo matching
- image processing
- high dimensional data
- regression model
- energy function
- image denoising
- closed form
- dynamic programming
- parameter space
- pairwise
- support vector