Noisy Expectation-Maximization: Applications and Generalizations.
Osonde OsobaBart KoskoPublished in: CoRR (2018)
Keyphrases
- expectation maximization
- em algorithm
- maximum likelihood
- mixture model
- parameter estimation
- probabilistic model
- unsupervised learning
- incomplete data
- gaussian mixture model
- generative model
- bayesian framework
- noisy data
- image segmentation
- gaussian mixture
- noisy environments
- maximum likelihood estimation
- maximum a posteriori
- databases
- missing data
- neural network
- database
- k means
- clustering algorithm
- probability density function
- information systems
- computer vision
- model based clustering