Nonlinear Dimensionality Reduction Based on HSIC Maximization.
Zhengming MaZengrong ZhanXiaoyuan OuyangXue SuPublished in: IEEE Access (2018)
Keyphrases
- nonlinear dimensionality reduction
- hilbert schmidt independence criterion
- dimensionality reduction
- manifold learning
- feature selection
- low dimensional
- feature space
- high dimensional data
- kernel learning
- dimensionality reduction methods
- riemannian manifolds
- locally linear embedding
- high dimensional
- data points
- preprocessing step
- metric learning
- sparse representation
- support vector machine svm
- feature set
- semi supervised
- feature vectors
- feature extraction
- data sets