Bayesian estimation of Dirichlet mixture model with variational inference.
Zhanyu MaPravin Kumar RanaJalil TaghiaMarkus FlierlArne LeijonPublished in: Pattern Recognit. (2014)
Keyphrases
- variational inference
- mixture model
- posterior distribution
- expectation maximization
- em algorithm
- parameter estimation
- probabilistic model
- gaussian mixture model
- latent variables
- hyperparameters
- generative model
- model selection
- maximum likelihood
- maximum a posteriori
- density estimation
- unsupervised learning
- bayesian framework
- posterior probability
- hierarchical dirichlet process
- probability distribution
- dirichlet process
- probability density function
- language model
- exponential family
- gaussian distribution
- hidden variables
- bayesian inference
- image segmentation
- closed form