Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models.
Valentin DuranteGeorge KatsirelosThomas SchiexPublished in: ICML (2022)
Keyphrases
- graphical models
- low rank
- belief propagation
- convex optimization
- pairwise
- random variables
- probabilistic model
- bayesian networks
- low rank matrix
- matrix factorization
- markov networks
- approximate inference
- semi supervised
- upper bound
- matrix completion
- high order
- conditional random fields
- rank minimization
- linear combination
- missing data
- singular value decomposition
- convex relaxation
- markov random field
- stereo matching
- exact inference
- loopy belief propagation
- image restoration
- model selection
- multi class
- data analysis
- similarity measure
- image segmentation
- image processing