Expectation Maximization as Message Passing - Part I: Principles and Gaussian Messages
Justin DauwelsAndrew W. EckfordSascha KorlHans-Andrea LoeligerPublished in: CoRR (2009)
Keyphrases
- message passing
- expectation maximization
- em algorithm
- maximum likelihood
- gaussian mixture
- gaussian mixture model
- sum product algorithm
- belief propagation
- gaussian distribution
- distributed systems
- gaussian densities
- gaussian model
- factor graphs
- mixture model
- shared memory
- graphical models
- approximate inference
- probabilistic model
- parameter estimation
- generative model
- probabilistic inference
- sum product
- maximum a posteriori
- probability density function
- markov random field
- bayesian framework
- distributed shared memory
- inference in graphical models
- image segmentation
- graph cuts
- ldpc codes
- post processing
- matrix multiplication
- linear programming
- higher order