Fast orthogonal linear discriminant analysis with applications to image classification.
Qiaolin YeNing YeHaofeng ZhangChunxia ZhaoPublished in: IJCNN (2014)
Keyphrases
- linear discriminant analysis
- image classification
- feature extraction
- discriminant vectors
- discriminant analysis
- discriminant projection
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- image representation
- small sample size
- support vector machine svm
- support vector
- image features
- high dimensional data
- discriminant features
- null space
- fisher criterion
- feature space
- pattern recognition
- discriminative information
- linear discriminant
- principal components analysis
- svm classifier
- multivariate statistical
- subspace methods
- scatter matrix
- feature vectors
- object recognition
- sparse coding
- scatter matrices
- image processing
- feature selection
- generalized discriminant analysis
- class separability
- singular value decomposition
- support vector machine
- high dimensional
- decision trees