Exploring Shared Subspace and Joint Sparsity for Canonical Correlation Analysis.
Liang TaoHorace Ho-Shing IpYinglin WangXin ShuPublished in: CIKM (2014)
Keyphrases
- canonical correlation analysis
- canonical correlations
- norm regularization
- nonlinear kernel
- multivariate statistical
- high dimensional
- least squares
- partial least squares
- sparse representation
- neural network
- equivalence relationship
- dimensionality reduction
- high dimensional data
- low dimensional
- dimensionality reduction methods
- machine learning
- subspace learning
- principal component analysis
- feature space
- discriminant analysis
- locality preserving projections
- high dimensionality
- mutual information
- clustering algorithm