Building kernelized canonical correlation ensemble for dimensionality reduction.
XiaoZhen LuoXiang-jun ShenTimothy Apasiba AbeoPublished in: ICIMCS (2018)
Keyphrases
- dimensionality reduction
- canonical correlations
- subspace learning
- canonical correlation analysis
- feature selection
- feature space
- dimensionality reduction methods
- principal component analysis
- high dimensional feature space
- data representation
- input space
- discriminant analysis
- neural network
- ensemble methods
- high dimensionality
- low dimensional
- training set
- high dimensional data
- learning algorithm
- metric learning
- pattern recognition
- manifold learning
- mutual information
- high dimensional
- principal components
- linear discriminant analysis
- feature extraction
- kernel function
- random projections
- image processing
- computer vision
- discriminant function
- data sets