Solving the Small Sample Size Problem of LDA.
Rui HuangQingshan LiuHanqing LuSongde MaPublished in: ICPR (3) (2002)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- null space
- small sample size
- dimension reduction
- feature extraction
- support vector machine svm
- latent dirichlet allocation
- principal component analysis
- feature space
- high dimensional data
- topic models
- random sampling
- topic modeling
- subspace methods
- co occurrence
- generative model
- data sets
- nearest neighbor
- data points
- support vector
- gabor features
- bayesian networks
- data mining