Pairwise-Covariance Linear Discriminant Analysis.
Deguang KongChris H. Q. DingPublished in: AAAI (2014)
Keyphrases
- linear discriminant analysis
- pairwise
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- discriminant information
- feature extraction
- fisher criterion
- discriminant features
- feature space
- support vector machine svm
- dimension reduction
- high dimensional data
- null space
- loss function
- support vector
- semi supervised
- small sample size
- subspace methods
- multi class
- class separability
- scatter matrix
- generalized discriminant analysis
- discriminative information
- spectral clustering
- linear discriminant
- pairwise constraints
- scatter matrices
- covariance matrix
- qr decomposition
- least squares