A Riemannian conjugate gradient method for optimization on the Stiefel manifold.
Xiaojing ZhuPublished in: Comput. Optim. Appl. (2017)
Keyphrases
- conjugate gradient method
- euclidean space
- positive definite
- fisher information
- riemannian manifolds
- riemannian metric
- conjugate gradient
- manifold learning
- geodesic distance
- objective function
- shape analysis
- convergence property
- iterative methods
- reproducing kernel hilbert space
- vector space
- optimization algorithm
- high dimensional
- metric space
- constrained optimization
- feature space
- euclidean distance
- low dimensional
- principal component analysis