A dual subspace parsimonious mixture of matrix normal distributions.
Alex SharpGlen ChalatovRyan P. BrownePublished in: Adv. Data Anal. Classif. (2023)
Keyphrases
- normal distribution
- mixture distribution
- covariance matrix
- covariance matrices
- eigendecomposition
- null space
- random variables
- gaussian distribution
- standard deviation
- principal component analysis
- em algorithm
- projection matrix
- gaussian mixture
- probability density function
- mixture model
- probability distribution
- qr decomposition
- singular value decomposition
- principal components
- gaussian mixture model
- statistical model
- probabilistic model
- machine learning
- high dimensional data
- low dimensional
- independent components
- upper bound
- generalized gaussian
- high dimensional
- feature space
- expectation maximization
- markov random field
- computer vision