Multiview dimension reduction via Hessian multiset canonical correlations.
Weifeng LiuXinghao YangDapeng TaoJun ChengYuanyan TangPublished in: Inf. Fusion (2018)
Keyphrases
- dimension reduction
- canonical correlations
- canonical correlation analysis
- discriminant analysis
- partial least squares
- linear discriminant analysis
- principal component analysis
- mutual information
- feature extraction
- subspace learning
- cluster analysis
- high dimensional
- low dimensional
- high dimensional data
- feature selection
- multiple views
- discriminant function
- feature space
- singular value decomposition
- discriminative learning
- random projections
- discriminative information
- manifold learning
- variable selection
- dimensionality reduction
- high dimensionality
- principle component analysis
- subspace methods
- least squares
- dimensionality reduction methods
- linear subspace
- learning algorithm
- pattern recognition
- preprocessing
- data mining
- unsupervised learning
- machine learning