Tensor canonical correlation analysis for multi-view dimension reduction.
Yong LuoDacheng TaoKotagiri RamamohanaraoChao XuYonggang WenPublished in: ICDE (2016)
Keyphrases
- multi view
- dimension reduction
- canonical correlation analysis
- partial least squares
- dimensionality reduction
- dimensionality reduction methods
- principal component analysis
- multiple views
- high dimensional data
- feature extraction
- high dimensional
- singular value decomposition
- linear discriminant analysis
- three dimensional
- low dimensional
- semi supervised
- least squares
- feature selection
- random projections
- high dimensionality
- manifold learning
- d objects
- cluster analysis
- discriminative information
- feature space
- unsupervised learning
- preprocessing
- object recognition
- data analysis
- data representation
- pattern recognition