Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models.
Yihan ZhangNir WeinbergerPublished in: CoRR (2022)
Keyphrases
- gaussian mixture model
- high dimensional
- probability density
- mixture model
- density estimation
- maximum likelihood criterion
- feature space
- feature vectors
- em algorithm
- expectation maximization
- maximum likelihood
- speaker recognition
- log likelihood function
- gaussian mixture
- gaussian distribution
- speaker identification
- low dimensional
- covariance matrices
- similarity search
- dimensionality reduction
- maximum likelihood estimation
- probability density function
- variational bayes
- parameter estimation
- model selection
- data points
- object recognition
- unsupervised learning
- similarity measure
- pattern recognition
- supervised learning
- feature selection