An Improved Linear Discriminant Analysis with L1-Norm for Robust Feature Extraction.
Xiaobo ChenJian YangZhong JinPublished in: ICPR (2014)
Keyphrases
- linear discriminant analysis
- feature extraction
- discriminant analysis
- principal component analysis
- dimensionality reduction
- face recognition
- dimension reduction
- small sample size
- support vector machine svm
- support vector
- feature space
- high dimensional data
- discriminant features
- fisher criterion
- linear discriminant
- null space
- feature vectors
- discriminant projection
- pca lda
- class separability
- independent component analysis
- high dimensional
- feature selection
- discriminative information
- principal components analysis
- locality preserving projections
- pattern recognition
- subspace methods
- gabor features
- gabor wavelets
- data sets
- image classification
- data analysis
- discriminant information