Parameter estimation for autoregressive Gaussian-mixture processes: the EMAX algorithm.
Shawn M. VerboutJames M. OoiJeffrey T. LudwigAlan V. OppenheimPublished in: ICASSP (1997)
Keyphrases
- parameter estimation
- expectation maximization
- em algorithm
- gaussian mixture
- maximum likelihood
- random fields
- autoregressive
- computational complexity
- markov random field
- worst case
- probabilistic model
- maximum likelihood estimation
- mixture model
- gaussian mixture model
- statistical models
- bayesian framework
- posterior distribution
- parameter estimation algorithm
- distance function
- least squares
- k means
- probability density function
- segmentation algorithm
- model selection
- objective function