Measurement Bounds for Sparse Signal Ensembles via Graphical Models.
Marco F. DuarteMichael B. WakinDror BaronShriram SarvothamRichard G. BaraniukPublished in: IEEE Trans. Inf. Theory (2013)
Keyphrases
- graphical models
- gaussian graphical models
- belief propagation
- probabilistic inference
- probabilistic model
- random variables
- directed acyclic
- approximate inference
- bayesian networks
- probabilistic graphical models
- conditional random fields
- belief networks
- markov networks
- upper bound
- marginal probabilities
- conditional independence
- structure learning
- lower bound
- theoretical guarantees
- graph structure
- map inference
- exact inference
- factor graphs
- high dimensional
- statistical inference
- upper and lower bounds
- worst case
- structural learning
- sparse representation
- lower and upper bounds
- least squares
- chain graphs