Parameter estimation for autoregressive Gaussian-mixture processes: the EMAX algorithm.
Shawn M. VerboutJames M. OoiJeffrey T. LudwigAlan V. OppenheimPublished in: IEEE Trans. Signal Process. (1998)
Keyphrases
- parameter estimation
- expectation maximization
- em algorithm
- gaussian mixture
- random fields
- maximum likelihood
- model selection
- gaussian mixture model
- autoregressive
- maximum likelihood estimation
- probabilistic model
- worst case
- energy function
- statistical models
- objective function
- markov random field
- k means
- computer vision
- density estimation
- mixture model
- posterior distribution