Robust Identification of "Sparse Plus Low-rank" Graphical Models: An Optimization Approach.
Valentina CicconeAugusto FerranteMattia ZorziPublished in: CDC (2018)
Keyphrases
- graphical models
- low rank
- rank minimization
- low rank matrix
- low rank subspace
- nuclear norm
- low rank representation
- norm minimization
- robust principal component analysis
- convex optimization
- low rank matrices
- belief propagation
- probabilistic model
- missing data
- random variables
- linear combination
- matrix factorization
- singular value decomposition
- matrix completion
- approximate inference
- markov networks
- bayesian networks
- semi supervised
- conditional random fields
- sparse matrix
- high order
- high dimensional data
- exact inference
- data sets
- small number