Compute Orthogonal Discriminant Vectors Efficiently for Dimension Reduction.
Jinghua WangQin LiJane YouPublished in: IPCV (2010)
Keyphrases
- dimension reduction
- discriminant vectors
- linear discriminant analysis
- scatter matrices
- discriminant analysis
- principal component analysis
- feature extraction
- dimensionality reduction
- face recognition
- random projections
- small sample size
- singular value decomposition
- discriminative information
- manifold learning
- high dimensional data
- cluster analysis
- support vector machine svm
- high dimensional
- feature space
- null space
- feature selection
- high dimensionality
- unsupervised learning
- low dimensional
- support vector
- computer vision
- sample size
- neural network
- facial images
- data representation