A General Matrix Function Dimensionality Reduction Framework and Extension for Manifold Learning.
Ruisheng RanJi FengShougui ZhangBin FangPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- manifold learning
- dimensionality reduction
- nonlinear dimensionality reduction
- low dimensional
- high dimensional
- feature mapping
- diffusion maps
- semi supervised
- principal component analysis
- subspace learning
- laplacian eigenmaps
- feature extraction
- pattern recognition
- manifold structure
- singular value decomposition
- locality preserving projections
- manifold learning algorithm
- discriminant projection
- intrinsic manifold
- data representation
- high dimensionality
- linear discriminant analysis
- data points
- pairwise
- locally linear embedding
- random projections
- head pose estimation
- input space
- sparse representation
- manifold embedding
- high dimensional data
- nonlinear manifold