Block-diagonal covariance selection for high-dimensional Gaussian graphical models.
Emilie DevijverMélina GallopinPublished in: CoRR (2015)
Keyphrases
- block diagonal
- gaussian graphical models
- high dimensional
- graphical models
- semidefinite programming
- similarity search
- linear programming problems
- nearest neighbor
- high dimensionality
- covariance matrix
- low dimensional
- high dimensional data
- linear models
- bayesian networks
- dimensionality reduction
- belief propagation
- face images
- parameter space
- higher order
- kernel matrix
- data points
- probabilistic model
- pairwise
- objective function