Quantum Expectation-Maximization for Gaussian mixture models.
Iordanis KerenidisAlessandro LuongoAnupam PrakashPublished in: ICML (2020)
Keyphrases
- gaussian mixture model
- expectation maximization
- em algorithm
- mixture model
- maximum likelihood
- gaussian mixture
- probabilistic model
- speaker recognition
- gaussian distribution
- parameter estimation
- unsupervised learning
- density estimation
- generative model
- probability density function
- maximum likelihood estimation
- covariance matrices
- maximum a posteriori
- bayesian framework
- k means
- probability density
- image segmentation
- model based clustering
- speaker identification
- finite mixture model
- variational bayes
- active learning
- training data
- feature extraction