An Adaptive EM Accelerator for Unsupervised Learning of Gaussian Mixture Models.
Truong NguyenGuangye ChenLuis ChacónPublished in: CoRR (2020)
Keyphrases
- gaussian mixture model
- unsupervised learning
- expectation maximization
- mixture model
- em algorithm
- maximum likelihood
- speaker recognition
- gaussian mixture
- density estimation
- finite mixture models
- supervised learning
- probabilistic model
- maximum a posteriori
- maximum likelihood estimation
- speaker identification
- probability density function
- gaussian distribution
- generative model
- variational bayes
- bayesian framework
- probability density
- mixture of gaussians
- finite mixtures
- semi supervised
- feature selection
- k means
- model based clustering
- mixture modeling
- log likelihood function
- model selection
- image compression
- dimensionality reduction
- object recognition
- bayesian networks
- image segmentation
- minimum message length
- machine learning