A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization.
Dzung T. PhanTsuyoshi IdéJayant KalagnanamMatt MenickellyKatya ScheinbergPublished in: ICDM Workshops (2017)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- approximate inference
- probabilistic inference
- probabilistic graphical models
- structure learning
- conditional random fields
- map inference
- markov networks
- exact inference
- belief networks
- bayesian networks
- maximum likelihood
- conditional independence
- factor graphs
- loopy belief propagation
- conditional dependencies
- models with hidden variables
- graph structure
- gaussian model
- message passing
- generative model
- pairwise