Least squares online linear discriminant analysis.
Qing WangLiang ZhangPublished in: Expert Syst. Appl. (2012)
Keyphrases
- linear discriminant analysis
- least squares
- discriminant analysis
- supervised dimensionality reduction
- principal component analysis
- face recognition
- dimensionality reduction
- discriminant features
- dimension reduction
- small sample size
- feature space
- high dimensional data
- feature extraction
- support vector
- null space
- fisher criterion
- principal components analysis
- support vector machine svm
- multivariate statistical
- linear discriminant
- subspace methods
- dealing with high dimensional data
- neural network
- class separability
- discriminative information
- singular value decomposition
- optical flow
- high dimensional
- random projections
- data points
- equivalence relationship
- qr decomposition
- discriminant vectors
- generalized discriminant analysis
- nonparametric discriminant analysis
- data sets