On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures.
Jian YuChaomurilige WangMiin-Shen YangPublished in: Pattern Recognit. (2018)
Keyphrases
- gaussian mixture
- expectation maximization
- parameter selection
- em algorithm
- gaussian mixture model
- unsupervised learning
- mixture model
- maximum likelihood
- probability density function
- active learning
- model selection
- adaptive regularization
- closed form
- parameter estimation
- learning algorithm
- natural images
- worst case
- denoising
- image segmentation