Parameter Estimation Via Expectation Maximization - Expectation Consistent Algorithm.
Fangqing XiaoDirk SlockPublished in: ICASSP (2024)
Keyphrases
- expectation maximization
- parameter estimation
- em algorithm
- maximum likelihood
- maximum likelihood estimation
- probabilistic model
- gaussian mixture
- likelihood function
- mixture model
- machine learning
- statistical models
- generative model
- gibbs sampling
- least squares
- k means
- maximum a posteriori
- bayesian framework
- parameters estimation
- parameter estimates
- parameter estimation algorithm
- parameter values
- model selection
- posterior distribution
- probability density function
- model fitting
- kalman filter
- hidden markov models
- similarity measure
- image segmentation