Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation.
Roberto Di MariRoberto RocciStefano Antonio GattonePublished in: SMPS (2016)
Keyphrases
- maximum likelihood estimation
- linear regression models
- multivariate gaussian
- mixture of gaussians
- expectation maximization
- least squares
- em algorithm
- regression analysis
- parameter estimation
- mixture model
- maximum likelihood
- linear regression model
- probability distribution
- probabilistic model
- regression trees
- gaussian mixture model
- density function
- unsupervised learning
- gaussian distribution
- image segmentation
- density estimation
- k means
- high dimensional
- video sequences
- similarity measure