An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing.
Christopher A. MetzlerPhilip SchniterRichard G. BaraniukPublished in: LVA/ICA (2018)
Keyphrases
- message passing
- inference in graphical models
- expectation maximization
- sum product algorithm
- belief propagation
- em algorithm
- distributed systems
- factor graphs
- probabilistic inference
- junction tree
- shared memory
- markov random field
- approximate inference
- parameter estimation
- maximum likelihood
- generative model
- distributed shared memory
- maximum a posteriori
- graphical models
- probabilistic model
- feature vectors
- computer vision
- loopy belief propagation
- pairwise
- matrix multiplication
- lower bound
- clustering algorithm