Quantum Expectation-Maximization for Gaussian Mixture Models.
Iordanis KerenidisAlessandro LuongoAnupam PrakashPublished in: CoRR (2019)
Keyphrases
- gaussian mixture model
- expectation maximization
- em algorithm
- mixture model
- maximum likelihood
- probabilistic model
- gaussian distribution
- speaker recognition
- unsupervised learning
- density estimation
- parameter estimation
- generative model
- gaussian mixture
- probability density function
- speaker identification
- image segmentation
- bayesian framework
- covariance matrices
- k means
- maximum likelihood estimation
- probability density
- variational bayes
- maximum a posteriori
- information retrieval
- log likelihood function
- model selection
- classification accuracy
- bayesian information criterion
- training set
- mixture modeling
- finite mixture models