Robust L1-norm two-dimensional linear discriminant analysis.
Chun-Na LiYuan-Hai ShaoNai-Yang DengPublished in: Neural Networks (2015)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- dimension reduction
- principal component analysis
- discriminant features
- small sample size
- principal components analysis
- fisher criterion
- feature extraction
- null space
- high dimensional data
- support vector
- support vector machine svm
- multivariate statistical
- discriminative information
- feature space
- linear discriminant
- high dimensionality
- subspace analysis
- class separability
- scatter matrix
- generalized discriminant analysis
- data sets
- discriminant information
- scatter matrices
- face detection
- learning algorithm