Performance of linear discriminant analysis in stochastic settings.
Amin ZollanvariJianping HuaEdward R. DoughertyPublished in: ICASSP (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- support vector machine svm
- discriminant features
- high dimensional data
- principal components analysis
- feature extraction
- small sample size
- feature space
- support vector
- null space
- class separability
- fisher criterion
- multivariate statistical
- dealing with high dimensional data
- discriminative information
- monte carlo
- linear discriminant
- subspace methods
- scatter matrices
- pattern recognition
- computer vision
- generalized discriminant analysis
- neural network