Expectation-Maximization Gaussian-Mixture Approximate Message Passing
Jeremy P. VilaPhilip SchniterPublished in: CoRR (2012)
Keyphrases
- gaussian mixture
- message passing
- expectation maximization
- inference in graphical models
- em algorithm
- sum product algorithm
- belief propagation
- gaussian mixture model
- mixture model
- distributed systems
- maximum likelihood
- junction tree
- probability density function
- parameter estimation
- markov random field
- probabilistic model
- shared memory
- mixture of gaussians
- generative model
- gaussian densities
- maximum likelihood estimation
- bayesian framework
- approximate inference
- sum product
- k means
- image segmentation
- unsupervised learning
- density estimation
- maximum a posteriori
- covariance matrix
- graphical models
- stereo matching
- gaussian distribution
- closed form
- random variables
- natural images
- supervised learning
- motion estimation
- high dimensional
- multiscale