Multifactor Expectation Maximization for Factor Graphs.
Jason T. RolfeMatthew CookPublished in: ICANN (3) (2010)
Keyphrases
- factor graphs
- expectation maximization
- parameter learning
- em algorithm
- graphical models
- probabilistic model
- message passing
- approximate inference
- parameter estimation
- latent variables
- belief propagation
- maximum likelihood
- gaussian mixture model
- exact inference
- mixture model
- markov networks
- probabilistic graphical models
- probabilistic inference
- bayesian framework
- image segmentation
- maximum likelihood estimation
- generative model
- probability density function
- bayesian inference
- bayesian networks
- maximum a posteriori
- gaussian model
- k means
- markov random field
- image sequences
- random variables
- high quality
- model construction
- structure learning
- information extraction
- least squares
- statistical learning
- hyperparameters
- cost model
- random fields
- gaussian distribution
- graph cuts