A study on three linear discriminant analysis based methods in small sample size problem.
Jun LiuSongcan ChenXiaoyang TanPublished in: Pattern Recognit. (2008)
Keyphrases
- linear discriminant analysis
- face recognition
- discriminant features
- dealing with high dimensional data
- discriminant analysis
- dimensionality reduction
- high dimensional data
- principal component analysis
- feature extraction
- dimension reduction
- subspace methods
- multivariate statistical
- null space
- small sample size
- support vector
- multiple regression
- feature space
- novelty detection
- subspace analysis
- qr decomposition
- pattern recognition
- neural network