An efficient algorithm to solve the small sample size problem for LDA.
Wenming ZhengLi ZhaoCairong ZouPublished in: Pattern Recognit. (2004)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- small sample size
- face recognition
- null space
- principal component analysis
- dimension reduction
- dimensionality reduction
- feature extraction
- high dimensional data
- support vector machine svm
- support vector
- feature space
- latent dirichlet allocation
- discriminative information
- scatter matrix
- subspace methods
- scatter matrices
- least squares
- topic discovery
- high dimensionality
- subspace analysis
- locality preserving projections
- computer vision
- pattern recognition
- feature selection