Regularized Difference Criterion for Computing Discriminants for Dimensionality Reduction.
Alex J. AvedErik Philip BlaschJing PengPublished in: IEEE Trans. Aerosp. Electron. Syst. (2017)
Keyphrases
- data points
- dimensionality reduction
- low dimensional
- high dimensional
- high dimensional data
- feature space
- class separability
- feature selection
- high dimensionality
- singular value decomposition
- input space
- linear discriminant analysis
- kernel discriminant analysis
- data representation
- random projections
- least squares
- principal components
- metric learning
- lower dimensional
- linear dimensionality reduction
- discriminant analysis
- nonlinear dimensionality reduction
- image processing
- structure preserving
- multidimensional scaling
- convex functions
- principal component analysis
- pattern recognition
- objective function
- pattern recognition and machine learning