Fast orthogonal linear discriminant analysis with application to image classification.
Qiaolin YeNing YeTongming YinPublished in: Neurocomputing (2015)
Keyphrases
- linear discriminant analysis
- image classification
- feature extraction
- discriminant analysis
- face recognition
- dimensionality reduction
- feature space
- principal component analysis
- image representation
- principal components analysis
- small sample size
- class separability
- qr decomposition
- fisher criterion
- discriminant features
- linear discriminant
- pattern recognition
- high dimensional
- subspace methods
- dimension reduction
- high dimensional data
- support vector machine