Robust Linear Discriminant Analysis Using Tyler's Estimator: Asymptotic Performance Characterization.
Nicolas AuguinDavid Morales-JiménezMatthew R. McKayPublished in: ICASSP (2019)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- dimension reduction
- small sample size
- support vector
- feature extraction
- feature space
- discriminant features
- support vector machine svm
- principal components analysis
- linear discriminant
- multivariate statistical
- high dimensional data
- null space
- generalized discriminant analysis
- least squares
- fisher criterion
- dealing with high dimensional data
- subspace analysis
- subspace methods
- maximum likelihood
- signal processing
- knn
- discriminative information
- class separability
- similarity measure
- machine learning
- data mining