Expectation-maximization Gaussian-mixture approximate message passing.
Jeremy P. VilaPhilip SchniterPublished in: CISS (2012)
Keyphrases
- gaussian mixture
- message passing
- expectation maximization
- inference in graphical models
- em algorithm
- sum product algorithm
- belief propagation
- distributed systems
- mixture model
- gaussian mixture model
- maximum likelihood
- parameter estimation
- probabilistic model
- generative model
- probability density function
- maximum likelihood estimation
- gaussian densities
- approximate inference
- image segmentation
- covariance matrix
- unsupervised learning
- junction tree
- mixture of gaussians
- sum product
- closed form
- markov random field
- bayesian framework
- shared memory
- maximum a posteriori
- density estimation
- higher order
- k means
- statistical methods
- statistical analysis
- graphical models