Fractional-order embedding canonical correlation analysis and its applications to multi-view dimensionality reduction and recognition.
Yunhao YuanQuan-Sen SunHong-Wei GePublished in: Pattern Recognit. (2014)
Keyphrases
- multi view
- canonical correlation analysis
- dimensionality reduction
- fractional order
- dimensionality reduction methods
- feature extraction
- pattern recognition
- three dimensional
- object recognition
- discriminant analysis
- d objects
- principal component analysis
- least squares
- semi supervised
- unsupervised learning
- high dimensional
- high dimensional data
- low dimensional
- high dimensionality
- transfer function
- feature space
- knn
- dimension reduction
- subspace learning
- partial least squares
- distance measure
- singular value decomposition
- manifold learning
- data sets
- data fusion
- metric learning
- multiscale
- feature selection