Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization.
Jason M. KlusowskiDana YangW. D. BrindaPublished in: IEEE Trans. Inf. Theory (2019)
Keyphrases
- expectation maximization
- em algorithm
- mixture model
- gaussian densities
- probabilistic model
- gaussian mixture model
- maximum likelihood
- generative model
- parameter estimation
- linear model
- finite mixture model
- image segmentation
- maximum likelihood estimates
- gaussian distribution
- linear prediction
- unsupervised learning
- gaussian mixture
- bayesian framework
- mixture of gaussians
- maximum likelihood estimation
- model based clustering
- maximum a posteriori
- probability density function
- mixture modeling
- mixture distribution
- wavelet packet
- gaussian model
- computer vision
- k means
- dirichlet distribution
- language model
- basis functions
- wavelet coefficients