Non-Iterative Two-Dimensional Linear Discriminant Analysis.
Kohei InoueKiichi UrahamaPublished in: ICPR (2) (2006)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- small sample size
- feature extraction
- null space
- discriminant features
- high dimensional data
- support vector
- subspace methods
- feature space
- linear discriminant
- class separability
- support vector machine svm
- fisher criterion
- principal components analysis
- discriminative information
- multivariate statistical
- scatter matrix
- scatter matrices
- feature vectors
- linear projection
- lower dimensional
- covariance matrix
- learning algorithm