Two Dimensional Fisher Discriminant Analysis: Forget About Small Sample Size Problem.
Hui KongEam Khwang TeohJian-Gang WangRonda VenkateswarluPublished in: ICASSP (2) (2005)
Keyphrases
- fisher discriminant analysis
- discriminant analysis
- linear discriminant analysis
- locality preserving projections
- principal component analysis
- factor analysis
- face recognition
- multiple kernel learning
- dimensionality reduction
- dimensionality reduction methods
- locality preserving
- kernel trick
- feature extraction
- computer vision
- null space
- subspace methods
- manifold learning
- independent component analysis
- data sets
- high dimensional data
- support vector machine
- support vector
- image processing