Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis
Wei BianDacheng TaoPublished in: CoRR (2012)
Keyphrases
- linear discriminant analysis
- linear discriminant
- fisher criterion
- discriminant analysis
- worst case
- face recognition
- dimensionality reduction
- principal component analysis
- class separability
- small sample size
- null space
- dimension reduction
- discriminant features
- support vector
- feature extraction
- upper bound
- support vector machine svm
- discriminative information
- feature space
- high dimensional data
- lower bound
- subspace methods
- scatter matrices
- principal components analysis
- scatter matrix
- data sets
- dealing with high dimensional data
- least squares
- multi class
- decision trees
- feature selection
- computer vision
- machine learning
- neural network