Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.
Jun ChenHaishan YeMengmeng WangTianxin HuangGuang DaiIvor W. TsangYong LiuPublished in: CoRR (2023)
Keyphrases
- conjugate gradient method
- euclidean space
- riemannian manifolds
- positive definite
- riemannian metric
- geodesic distance
- fisher information
- symmetric positive definite
- shape analysis
- conjugate gradient
- lie group
- manifold learning
- tangent space
- reproducing kernel hilbert space
- vector space
- objective function
- low dimensional
- convergence property
- metric space
- euclidean distance
- kernel function
- data points
- iterative methods
- shape space
- geometric structure
- covariance matrix
- high dimensional
- diffusion tensor
- neural network