Riemannian Manifold Learning for Nonlinear Dimensionality Reduction.
Tony LinHongbin ZhaSang Uk LeePublished in: ECCV (1) (2006)
Keyphrases
- nonlinear dimensionality reduction
- riemannian manifolds
- learning algorithm
- learning tasks
- supervised learning
- unsupervised learning
- high dimensional data
- data sets
- low dimensional
- active learning
- high dimensional
- dimensionality reduction
- manifold learning
- singular value decomposition
- learning problems
- euclidean space
- machine learning