Sparse Orthogonal Linear Discriminant Analysis.
Delin ChuLi-Zhi LiaoMichael K. NgPublished in: SIAM J. Sci. Comput. (2012)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- discriminant vectors
- discriminant projection
- dimensionality reduction
- principal component analysis
- face recognition
- dimension reduction
- small sample size
- discriminant features
- high dimensional
- feature extraction
- null space
- support vector machine svm
- high dimensional data
- sparse representation
- feature space
- fisher criterion
- principal components analysis
- support vector
- sparse coding
- subspace methods
- class separability
- generalized discriminant analysis
- random projections
- linear discriminant
- fisher discriminant analysis
- data sets
- high dimensionality
- machine learning
- discriminative information
- dimensionality reduction methods
- locality preserving projections
- scatter matrices
- face images
- qr decomposition
- data mining