Two iterative algorithms for maximum likelihood esitimation of Gaussian mixture parameter.
Feng LiuYu WangPingbo WangJinxin HuangPublished in: ICNC (2013)
Keyphrases
- gaussian mixture
- iterative algorithms
- maximum likelihood
- em algorithm
- expectation maximization
- gaussian mixture model
- mixture model
- mixtures of gaussians
- parameter estimation
- maximum likelihood estimation
- gaussian density
- density estimation
- probability density function
- kl divergence
- mixture of gaussians
- gaussian distribution
- maximum a posteriori
- hyperparameters
- probability density
- exponential family
- dual formulation
- gaussian densities
- closed form
- covariance matrix
- unsupervised learning
- probabilistic model
- generative model
- image processing
- data points
- active learning