Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction.
Yong LuoDacheng TaoYonggang WenKotagiri RamamohanaraoChao XuPublished in: CoRR (2015)
Keyphrases
- multi view
- dimension reduction
- canonical correlation analysis
- partial least squares
- dimensionality reduction
- dimensionality reduction methods
- principal component analysis
- multiple views
- high dimensional
- low dimensional
- feature extraction
- linear discriminant analysis
- d objects
- singular value decomposition
- feature selection
- random projections
- high dimensional data
- unsupervised learning
- high dimensionality
- three dimensional
- feature space
- manifold learning
- least squares
- preprocessing
- semi supervised
- nearest neighbor
- discriminant analysis
- object recognition
- discriminative information
- subspace learning
- image processing