Plug-And-Play Learned Gaussian-mixture Approximate Message Passing.
Osman MusaPeter JungGiuseppe CairePublished in: ICASSP (2021)
Keyphrases
- message passing
- gaussian mixture
- inference in graphical models
- belief propagation
- probability density function
- em algorithm
- distributed systems
- gaussian mixture model
- closed form
- covariance matrix
- sum product algorithm
- expectation maximization
- markov random field
- mixture model
- junction tree
- approximate inference
- shared memory
- sum product
- parameter estimation
- feature vectors
- density estimation
- dynamic programming
- probabilistic model
- training data
- reinforcement learning
- stereo matching
- image segmentation
- unsupervised learning
- generative model
- graphical models