Toward Robust and Fast Two-Dimensional Linear Discriminant Analysis.
Tetsuya YoshidaYuu YamadaPublished in: AMT (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- principal component analysis
- face recognition
- null space
- feature extraction
- small sample size
- discriminant features
- fisher criterion
- high dimensional data
- dimension reduction
- feature space
- support vector machine svm
- support vector
- scatter matrix
- linear discriminant
- multivariate statistical
- class separability
- principal components analysis
- neural network
- subspace learning
- high dimensionality
- high dimensional