Discriminant analysis based on projection onto generalized difference subspace.
Kazuhiro FukuiNaoya SogiTakumi KobayashiJing-Hao XueAtsuto MakiPublished in: CoRR (2019)
Keyphrases
- discriminant analysis
- discriminant subspace
- principal component analysis
- subspace projection
- face recognition
- generalized linear
- linear subspace
- linear discriminant analysis
- canonical correlations
- feature extraction
- face space
- scatter matrices
- dimensionality reduction
- fisher linear discriminant analysis
- low dimensional
- feature space
- fisher criterion
- fisher discriminant analysis
- subspace learning
- subspace methods
- null space
- principal components
- subspace clustering
- kernel discriminant analysis
- dimensionality reduction methods
- neural network
- linear discriminant
- partial least squares
- lower dimensional
- cluster analysis
- kernel pca
- principal components analysis
- covariance matrices
- data analysis
- discriminant vectors
- nearest feature line
- face images