A note on two-dimensional linear discriminant analysis.
Zhizheng LiangYoufu LiPengfei ShiPublished in: Pattern Recognit. Lett. (2008)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- dimension reduction
- discriminant features
- fisher criterion
- feature space
- small sample size
- null space
- support vector
- high dimensional data
- principal components analysis
- multivariate statistical
- support vector machine svm
- subspace methods
- class separability
- discriminative information
- linear discriminant
- high dimensional
- data sets
- dealing with high dimensional data
- kernel pca
- multi class
- pattern recognition
- computer vision
- machine learning