Linear Discriminant Analysis based on Fast Approximate SVD.
Nassara Elhadji Ille GadoEdith Grall-MaësMalika KharoufPublished in: ICPRAM (2017)
Keyphrases
- linear discriminant analysis
- dimensionality reduction
- dimension reduction
- principal component analysis
- discriminant analysis
- singular value decomposition
- face recognition
- feature extraction
- null space
- feature space
- small sample size
- discriminant features
- fisher criterion
- pattern recognition
- qr decomposition
- support vector machine svm
- support vector
- dealing with high dimensional data
- high dimensional data
- linear discriminant
- subspace methods
- low dimensional
- discriminative information
- class separability
- nonparametric discriminant analysis
- scatter matrix
- least squares
- high dimensional
- principal components analysis
- scatter matrices
- feature selection
- low rank
- principal components
- discriminant vectors
- multivariate statistical
- original data
- singular values
- data sets
- model selection
- objective function
- machine learning
- neural network