A Scaled Gradient Projection Method for Minimization over the Stiefel Manifold.
Harry OviedoOscar S. DalmauPublished in: MICAI (2019)
Keyphrases
- gradient projection method
- objective function
- euclidean space
- riemannian manifolds
- low dimensional
- geodesic distance
- shape analysis
- manifold learning
- metric space
- euclidean distance
- data sets
- cost function
- tangent space
- high dimensional
- data points
- regularization term
- learning algorithm
- lower dimensional
- graph embedding
- manifold structure
- geometric structure
- fisher information
- neural network
- real time
- vector space
- dimensionality reduction