A Invertible Dimension Reduction of Curves on a Manifold
Sheng YiHamid KrimLarry K. NorrisPublished in: CoRR (2011)
Keyphrases
- dimension reduction
- manifold learning
- low dimensional
- manifold embedding
- high dimensional
- nonlinear manifold
- generative topographic mapping
- manifold learning algorithm
- principal component analysis
- feature space
- feature extraction
- high dimensional data
- intrinsic dimension
- dimensionality reduction
- lower dimensional
- high dimensional problems
- high dimensionality
- unsupervised learning
- diffusion maps
- singular value decomposition
- random projections
- feature selection
- shape space
- discriminative information
- cluster analysis
- linear discriminant analysis
- dimension reduction methods
- manifold structure
- preprocessing
- data points
- high dimensional data analysis
- input image
- vector space
- locally linear embedding
- euclidean space