Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM.
Thomas LartigueStanley DurrlemanStéphanie AllassonnièrePublished in: Algorithms (2022)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- expectation maximisation
- gaussian mixture model
- parameter estimation
- generative model
- likelihood function
- gaussian mixture
- variational approximation
- log likelihood function
- probabilistic model
- hyperparameters
- hidden variables
- maximum likelihood estimation
- unsupervised learning
- maximum a posteriori
- bayesian framework
- gibbs sampling
- log likelihood
- likelihood maximization
- k means
- density estimation
- closed form
- image segmentation
- parameter learning
- probability density function
- penalized likelihood
- gaussian distribution
- mixture modeling
- statistical model