Large-Dimensional Characterization of Robust Linear Discriminant Analysis.
Nicolas AuguinDavid Morales-JiménezMatthew R. McKayPublished in: IEEE Trans. Signal Process. (2021)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- dimensionality reduction
- face recognition
- feature extraction
- small sample size
- dimension reduction
- null space
- principal components analysis
- discriminant features
- support vector machine svm
- support vector
- fisher criterion
- linear discriminant
- subspace methods
- feature space
- multivariate statistical
- high dimensional data
- class separability
- dealing with high dimensional data
- lower dimensional
- computer vision
- feature selection
- locality preserving projections
- pattern recognition
- qr decomposition
- similarity measure
- generalized discriminant analysis
- nonparametric discriminant analysis