Understanding and Evaluating Sparse Linear Discriminant Analysis.
Yi WuDavid P. WipfJeong-Min YunPublished in: AISTATS (2015)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- dimension reduction
- feature space
- null space
- high dimensional data
- feature extraction
- support vector
- support vector machine svm
- discriminant features
- high dimensional
- small sample size
- subspace methods
- fisher criterion
- random projections
- principal components analysis
- multivariate statistical
- discriminative information
- linear discriminant
- low dimensional
- generalized discriminant analysis
- sparse representation
- data sets
- subspace analysis
- scatter matrix
- nonparametric discriminant analysis
- high dimensionality
- class separability
- singular value decomposition
- data points
- training set
- data analysis
- neural network