A Bayesian max-product EM algorithm for reconstructing structured sparse signals.
Zhao SongAleksandar DogandzicPublished in: CISS (2012)
Keyphrases
- em algorithm
- maximum likelihood
- expectation maximization
- loopy belief propagation
- max product
- mixture model
- parameter estimation
- maximum likelihood estimation
- belief propagation
- gaussian mixture model
- hyperparameters
- generative model
- posterior distribution
- expectation maximisation
- incomplete data
- message passing
- probabilistic model
- high dimensional
- graphical models
- posterior probability
- probability density function
- gibbs sampling
- bayesian inference
- hidden variables
- bayesian networks
- maximum a posteriori
- least squares
- hidden markov models
- latent variables
- unsupervised learning
- np hard
- mixture modeling