A Comparative Study on Vector-based and Matrix-based Linear Discriminant Analysis.
Bo YangYingyong BuPublished in: J. Comput. (2011)
Keyphrases
- linear discriminant analysis
- null space
- qr decomposition
- discriminant analysis
- principal component analysis
- face recognition
- dimension reduction
- dimensionality reduction
- feature extraction
- small sample size
- discriminant features
- singular value decomposition
- feature space
- support vector
- scatter matrices
- high dimensional data
- linear discriminant
- discriminative information
- support vector machine svm
- scatter matrix
- subspace methods
- class separability
- fisher criterion
- singular values
- decomposition method
- principal components
- covariance matrix
- transformation matrix
- vector space
- image processing
- low dimensional
- subspace analysis
- projection matrices
- projection matrix
- locality preserving projections
- high dimensional