Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach.
Nicola GreggioAlexandre BernardinoJosé Santos-VictorPublished in: ICINCO (Selected Papers) (2010)
Keyphrases
- gaussian mixture model
- unsupervised learning
- mixture model
- expectation maximization
- em algorithm
- supervised learning
- feature selection
- feature vectors
- density estimation
- probability density function
- speaker recognition
- semi supervised
- object recognition
- speaker identification
- gaussian distribution
- covariance matrices
- model selection
- maximum likelihood
- dimensionality reduction
- feature space
- text classification
- probability density
- active learning
- gaussian mixture
- variational bayes
- finite mixtures
- probabilistic model
- reinforcement learning
- bayesian networks
- image processing
- generative model
- mixture distribution
- mixture modeling
- finite mixture models
- machine learning