A Least Squares Approach to Linear Discriminant Analysis.
Richard M. CrownoverPublished in: SIAM J. Sci. Comput. (1991)
Keyphrases
- linear discriminant analysis
- least squares
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- dimension reduction
- null space
- discriminant features
- support vector machine svm
- small sample size
- high dimensional data
- scatter matrices
- feature space
- class separability
- subspace methods
- discriminative information
- support vector
- fisher criterion
- computer vision
- singular value decomposition
- optical flow
- multivariate statistical
- canonical correlation analysis
- principal components analysis
- linear discriminant
- scatter matrix
- equivalence relationship
- involving high dimensional data
- low dimensional
- knn
- machine learning
- discriminant vectors
- nonparametric discriminant analysis