HSIC regularized manifold learning.
Xinghua ZhengZhengming MaHanjian CheLei LiPublished in: J. Intell. Fuzzy Syst. (2019)
Keyphrases
- manifold learning
- hilbert schmidt independence criterion
- feature space
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- feature selection
- dimension reduction
- high dimensional data
- feature extraction
- sparse representation
- least squares
- data sets
- kernel learning
- high dimensionality
- principal component analysis
- labeled data
- pairwise
- singular value decomposition
- nearest neighbor
- computer vision
- low dimensional manifolds
- machine learning