GMM Parameter Estimation by Means of EM and Genetic Algorithms.
Sergey ZablotskiyTeerat PitakratKseniya ZablotskayaWolfgang MinkerPublished in: HCI (1) (2011)
Keyphrases
- parameter estimation
- expectation maximization
- em algorithm
- gaussian mixture model
- maximum likelihood
- genetic algorithm
- mixture model
- gaussian mixture
- model selection
- probabilistic model
- maximum likelihood estimation
- least squares
- model fitting
- likelihood function
- parameter values
- gibbs sampling
- statistical models
- parameter estimation algorithm
- generative model
- bayesian framework
- approximate inference
- maximum a posteriori
- posterior distribution
- random fields
- markov random field
- probability density function
- image processing
- hyperparameters
- structure learning
- estimation problems
- parameters estimation
- background subtraction
- k means
- image segmentation