Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models.
Yihan ZhangNir WeinbergerPublished in: NeurIPS (2022)
Keyphrases
- gaussian mixture model
- high dimensional
- probability density
- mixture model
- density estimation
- feature space
- maximum likelihood criterion
- expectation maximization
- speaker recognition
- em algorithm
- feature vectors
- gaussian mixture
- low dimensional
- probability density function
- speaker identification
- similarity search
- maximum likelihood
- parameter estimation
- parameter space
- gaussian distribution
- maximum likelihood estimation
- log likelihood function
- data points
- computer vision
- high dimensional data
- language model
- covariance matrices
- variational bayes
- image segmentation
- mixture modeling
- probabilistic model
- dimensionality reduction
- conditional independence
- generative model