Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation.
Jun ZhangJames W. ModestinoDavid A. LanganPublished in: IEEE Trans. Image Process. (1994)
Keyphrases
- parameter estimation
- maximum likelihood
- iterative conditional estimation
- em algorithm
- expectation maximization
- likelihood function
- maximum likelihood estimation
- statistical models
- hyperparameters
- parameter estimation algorithm
- random fields
- covariance matrices
- approximate inference
- parameter values
- semi supervised
- gaussian distribution
- model fitting
- parameter learning
- gibbs sampling
- parameter estimates
- structure learning
- data mining
- estimation problems
- generative model
- parameters estimation
- maximum a posteriori
- pairwise