Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem.
Ying WenLianghua HeYue LuPublished in: ICASSP (2012)
Keyphrases
- ordered labeled trees
- linear discriminant analysis
- discriminant information
- vector space
- feature vectors
- feature selection
- discriminative power
- principal components
- semi supervised
- feature extraction
- pairwise
- image processing
- active learning
- principal component analysis
- input data
- object recognition
- pattern recognition
- latent dirichlet allocation
- random sampling
- data sets