Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds.
David H. GutmanNam Ho-NguyenPublished in: Math. Oper. Res. (2023)
Keyphrases
- riemannian manifolds
- tangent space
- euclidean space
- feature space
- low dimensional
- covariance matrices
- grassmann manifold
- manifold learning
- covariance matrix
- mean shift
- vector space
- principal component analysis
- parameter space
- geodesic distance
- dimensionality reduction
- high dimensional data
- high dimensional
- multi class classification
- geometric structure
- shape analysis
- lie group
- reproducing kernel hilbert space
- kernel pca
- feature selection
- euclidean distance
- pairwise
- multi class