Distance Approximating Dimension Reduction of Riemannian Manifolds.
Changyou ChenJunping ZhangRudolf FleischerPublished in: IEEE Trans. Syst. Man Cybern. Part B (2010)
Keyphrases
- dimension reduction
- riemannian manifolds
- manifold learning
- geodesic distance
- euclidean space
- feature space
- low dimensional
- principal component analysis
- feature extraction
- high dimensional
- euclidean distance
- singular value decomposition
- high dimensional data
- random projections
- distance measure
- linear discriminant analysis
- dimensionality reduction
- parameter space
- vector space
- geometric structure
- cluster analysis
- feature selection
- multi class classification
- covariance matrix
- high dimensionality
- distance metric
- distance function
- mean shift
- unsupervised learning
- covariance matrices
- reproducing kernel hilbert space
- semi supervised
- image data
- feature vectors
- object recognition
- neural network