Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices.
Salem SaidHatem HajriLionel BombrunBaba C. VemuriPublished in: IEEE Trans. Inf. Theory (2018)
Keyphrases
- covariance matrices
- statistical learning
- gaussian distribution
- riemannian manifolds
- riemannian metric
- log euclidean
- lie group
- symmetric positive definite
- maximum likelihood
- gaussian mixture model
- model selection
- information theory
- supervised learning
- manifold learning
- covariance matrix
- expectation maximization
- kl divergence
- text mining
- machine learning
- data mining
- information theoretic
- distance measure
- reinforcement learning
- image segmentation