GO-LDA: Generalised Optimal Linear Discriminant Analysis.
Jiahui LiuXiaohao CaiMahesan NiranjanPublished in: CoRR (2023)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- high dimensional data
- discriminant features
- dimension reduction
- support vector
- small sample size
- discriminant vectors
- feature space
- fisher criterion
- support vector machine svm
- feature extraction
- null space
- subspace methods
- discriminative information
- class separability
- scatter matrices
- sample size
- scatter matrix
- dealing with high dimensional data
- high dimensional
- gabor features
- data sets
- linear discriminant
- subspace analysis
- face images
- kernel discriminant analysis
- qr decomposition