TULIP: A Toolbox for Linear Discriminant Analysis with Penalties.
Yuqing PanQing MaiXin ZhangPublished in: R J. (2020)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- principal component analysis
- face recognition
- dimension reduction
- feature extraction
- discriminant features
- fisher criterion
- high dimensional data
- feature space
- small sample size
- null space
- support vector
- principal components analysis
- linear discriminant
- support vector machine svm
- subspace methods
- scatter matrix
- multivariate statistical
- dealing with high dimensional data
- discriminative information
- discriminant vectors
- generalized discriminant analysis
- nonparametric discriminant analysis
- high dimensionality
- singular value decomposition
- face images
- feature vectors
- scatter matrices
- pattern recognition
- image processing
- computer vision
- linear projection
- qr decomposition
- neural network
- data sets