Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models.
Lingyan RuanMing YuanHui ZouPublished in: Neural Comput. (2011)
Keyphrases
- gaussian mixture model
- parameter estimation
- high dimensional
- em algorithm
- maximum likelihood
- estimation problems
- expectation maximization
- least squares
- mixture model
- feature space
- statistical models
- gaussian mixture
- model selection
- speaker recognition
- maximum likelihood estimation
- random fields
- probability density function
- likelihood function
- low dimensional
- parameter estimation algorithm
- gaussian distribution
- approximate inference
- variable selection
- generative model
- covariance matrices
- dimensionality reduction
- markov random field
- feature vectors
- probabilistic model
- posterior distribution
- density estimation
- parameter estimates
- data points
- image segmentation
- information retrieval
- maximum a posteriori
- feature selection
- machine learning