On the structure of the quadratic subspace in discriminant analysis.
Santiago VelillaPublished in: J. Multivar. Anal. (2010)
Keyphrases
- discriminant analysis
- principal component analysis
- linear discriminant analysis
- feature extraction
- discriminant subspace
- face recognition
- subspace projection
- scatter matrices
- canonical correlations
- dimensionality reduction
- pairwise
- fisher criterion
- null space
- dimensionality reduction methods
- data sets
- fisher linear discriminant analysis
- objective function
- subspace learning
- machine learning
- cluster analysis
- fisher discriminant analysis
- training set
- feature space
- partial least squares
- face space
- high dimensional data
- similarity measure
- discriminant information
- discriminant projection