Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
Ulugbek KamilovSundeep RanganAlyson K. FletcherMichael UnserPublished in: CoRR (2012)
Keyphrases
- parameter estimation
- message passing
- sparse learning
- markov random field
- belief propagation
- approximate inference
- maximum likelihood
- least squares
- multi task
- probabilistic inference
- model selection
- random fields
- graph cuts
- posterior distribution
- em algorithm
- distributed systems
- higher order
- factor graphs
- structure learning
- expectation maximization
- maximum likelihood estimation
- loopy belief propagation
- maximum a posteriori
- graphical models
- three dimensional
- gaussian processes
- image segmentation
- energy function
- markov networks
- feature space