Deep Linear Discriminant Analysis.
Matthias DorferRainer KelzGerhard WidmerPublished in: ICLR (Poster) (2016)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- discriminant features
- feature extraction
- support vector
- dimension reduction
- small sample size
- support vector machine svm
- null space
- high dimensional data
- fisher criterion
- feature space
- principal components analysis
- discriminative information
- scatter matrix
- multivariate statistical
- dealing with high dimensional data
- linear discriminant
- subspace methods
- neural network
- nonparametric discriminant analysis
- class separability
- scatter matrices
- singular value decomposition
- pattern recognition
- data sets