EM algorithm on the approximation of arbitrary PDFs by Gaussian, gamma and lognormal mixture distributions.
Vinicius R. da SilvaAbbas YongaçogluPublished in: LATINCOM (2015)
Keyphrases
- mixture distributions
- em algorithm
- gaussian mixture
- probability density function
- mixture model
- expectation maximization
- statistical distributions
- gaussian mixture model
- maximum likelihood
- closed form
- parameter estimation
- generative model
- likelihood function
- density estimation
- maximum likelihood estimation
- log likelihood function
- statistical distribution
- expectation maximisation
- mixture distribution
- probabilistic model
- mixture modeling
- generalized gaussian
- maximum likelihood estimates
- hidden markov models
- gaussian model
- power law
- motion patterns
- maximum a posteriori
- model based clustering
- density function
- statistical model