Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices.
Fengzhen TangMengling FanPeter TiñoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- riemannian manifolds
- spd matrices
- symmetric positive definite
- lie group
- euclidean space
- vector space
- finite dimensional
- low dimensional
- positive definite
- parameter space
- geometric structure
- mean shift
- geodesic distance
- covariance matrices
- multi class classification
- diffusion tensor
- manifold learning
- learning problems
- kernel methods
- log euclidean
- distribution function
- feature space