-norm Maximization over the Stiefel Manifold.
Ye XueYifei ShenVincent K. N. LauJun ZhangKhaled B. LetaiefPublished in: CoRR (2020)
Keyphrases
- euclidean space
- objective function
- hilbert space
- riemannian manifolds
- low dimensional
- geodesic distance
- high dimensional
- manifold learning
- shape analysis
- penalty term
- data points
- vector space
- tangent space
- fisher information
- regularized least squares
- genetic algorithm
- neural network
- finite dimensional
- configuration space
- graph laplacian
- multi task
- lie group
- metric space
- social norms
- trace norm
- manifold alignment
- data sets