Dual subspace learning via geodesic search on Stiefel manifold.
Lijun LiuRendong GeJiana MengGuangjie YouPublished in: Int. J. Mach. Learn. Cybern. (2014)
Keyphrases
- subspace learning
- manifold learning
- low dimensional
- linear subspace
- dimensionality reduction
- euclidean space
- geodesic distance
- grassmann manifold
- sparse representation
- data representation
- high dimensional
- principal component analysis
- semi supervised
- sparse coding
- riemannian manifolds
- shape representation
- face recognition
- unsupervised learning
- pairwise
- pattern recognition