Robust linear discriminant analysis with a Laplacian assumption on projection distribution.
Shujian YuZheng CaoXiubao JiangPublished in: ICASSP (2017)
Keyphrases
- linear discriminant analysis
- null space
- discriminant analysis
- principal component analysis
- linear projection
- dimensionality reduction
- face recognition
- feature extraction
- discriminant features
- small sample size
- support vector
- feature space
- discriminant projection
- support vector machine svm
- dimension reduction
- fisher criterion
- subspace methods
- linear discriminant
- high dimensional data
- discriminative information
- pattern recognition
- kernel pca
- singular value decomposition
- qr decomposition
- image processing
- generalized discriminant analysis
- data sets
- class separability
- gaussian distribution
- least squares
- training set
- neural network