Density Estimation by Mixture Models with Smoothing Priors.
Akio UtsugiPublished in: Neural Comput. (1998)
Keyphrases
- density estimation
- mixture model
- dirichlet prior
- gaussian mixture model
- probabilistic model
- em algorithm
- generative model
- probability density
- density function
- language model
- expectation maximization
- maximum likelihood
- model selection
- probability density function
- mixture modeling
- gaussian mixture
- parzen window
- unsupervised learning
- smoothing methods
- bayesian framework
- computer vision
- exponential family
- dirichlet distribution
- finite mixture model
- parameter estimation
- feature selection
- mixture of gaussians
- decision trees
- feature extraction
- dimensionality reduction