On parameter estimation of the envelope Gaussian mixture model.
Linyun HuangYi HongEmanuele ViterboPublished in: AusCTW (2014)
Keyphrases
- parameter estimation
- gaussian mixture model
- em algorithm
- maximum likelihood
- expectation maximization
- mixture model
- maximum likelihood estimation
- feature vectors
- gaussian mixture
- markov random field
- gaussian distribution
- parameter estimation algorithm
- model selection
- probabilistic model
- posterior distribution
- random fields
- covariance matrices
- least squares
- probability density function
- image segmentation
- background subtraction
- generative model
- feature space
- gaussian mixture modeling
- bayesian framework
- unsupervised learning
- maximum a posteriori
- higher order
- conditional independence
- object recognition
- parameter estimates
- estimation problems
- computer vision
- mouth region