Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning.
Ulugbek KamilovSundeep RanganAlyson K. FletcherMichael UnserPublished in: NIPS (2012)
Keyphrases
- parameter estimation
- message passing
- sparse learning
- markov random field
- belief propagation
- approximate inference
- multi task
- maximum likelihood
- least squares
- distributed systems
- model selection
- probabilistic inference
- random fields
- graph cuts
- factor graphs
- em algorithm
- maximum likelihood estimation
- energy function
- graphical models
- pairwise
- structure learning
- posterior distribution
- higher order
- multiscale
- exact inference
- maximum a posteriori
- closed form
- loopy belief propagation
- stereo matching
- partition function
- image segmentation