Large Scale Variational Bayesian Inference for Structured Scale Mixture Models.
Young-Jun KoMatthias W. SeegerPublished in: ICML (2012)
Keyphrases
- mixture model
- variational bayesian inference
- gaussian mixture model
- em algorithm
- generative model
- probabilistic model
- density estimation
- model selection
- latent dirichlet allocation
- expectation maximization
- language model
- maximum likelihood
- bayesian analysis
- mixture modeling
- unsupervised learning
- computer vision
- probability density function
- exponential family
- cross validation
- image segmentation
- variational inference
- bayesian networks
- support vector
- object recognition
- probability distribution