Robust dimension reduction based on canonical correlation.
Jianhui ZhouPublished in: J. Multivar. Anal. (2009)
Keyphrases
- dimension reduction
- principal component analysis
- canonical correlations
- high dimensional
- partial least squares
- high dimensional data
- manifold learning
- low dimensional
- singular value decomposition
- feature extraction
- random projections
- feature space
- feature selection
- cluster analysis
- variable selection
- canonical correlation analysis
- linear discriminant analysis
- dimensionality reduction
- discriminative information
- high dimensionality
- data sets
- subspace learning
- image processing
- active learning
- unsupervised learning
- least squares