Variance-spectra based normalization for i-vector standard and probabilistic linear discriminant analysis.
Pierre-Michel BousquetAnthony LarcherDriss MatroufJean-François BonastreOldrich PlchotPublished in: Odyssey (2012)
Keyphrases
- linear discriminant analysis
- principal component analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- feature extraction
- support vector
- high dimensional data
- dimension reduction
- fisher criterion
- discriminant features
- discriminative information
- feature space
- null space
- probabilistic model
- covariance matrix
- support vector machine svm
- small sample size
- class separability
- linear discriminant
- feature vectors
- principal components
- multivariate statistical
- independent component analysis
- feature selection
- intra class
- subspace analysis
- model selection