Manifold Mixing for Stacked Regularization.
João PereiraErik S. G. StroesAlbert K. GroenAeilko H. ZwindermanEvgeni LevinPublished in: PKDD/ECML Workshops (1) (2019)
Keyphrases
- projection operator
- manifold regularization
- graph laplacian
- manifold learning
- high dimensional
- euclidean space
- regularization parameter
- low dimensional
- high dimensional data
- image set
- semi supervised learning
- geodesic distance
- blind source separation
- riemannian manifolds
- fisher information
- semi supervised
- information geometry
- learning algorithm