Incremental learning of nonparametric Bayesian mixture models.
Ryan GomesMax WellingPietro PeronaPublished in: CVPR (2008)
Keyphrases
- incremental learning
- nonparametric bayesian
- mixture model
- mixture modeling
- dirichlet process
- density estimation
- em algorithm
- gaussian mixture model
- generative model
- probabilistic model
- model selection
- unsupervised learning
- expectation maximization
- maximum likelihood
- semi supervised
- language model
- supervised learning
- probability density function
- learning process
- variational inference
- exponential family
- data sets
- object recognition
- feature extraction
- learning algorithm