A refined EM algorithm for PH distributions.
Hiroyuki OkamuraTadashi DohiKishor S. TrivediPublished in: Perform. Evaluation (2011)
Keyphrases
- em algorithm
- expectation maximization
- finite mixtures
- mixture model
- mixture distribution
- maximum likelihood
- generative model
- estimate the model parameters
- maximum likelihood estimation
- parameter estimation
- likelihood function
- gaussian mixture model
- expectation maximisation
- log likelihood
- hyperparameters
- maximum likelihood estimates
- gaussian distribution
- mixture components
- probability distribution
- power law
- probability density function
- gaussian mixture
- kullback leibler divergence
- likelihood maximization
- computer vision
- maximum a posteriori
- finite mixture model
- mixture modeling
- log likelihood function
- hidden variables
- finite mixture models
- minimum message length
- model based clustering
- bayesian framework
- random variables
- least squares
- probabilistic model