An efficient implementation of Probabilistic Linear Discriminant Analysis.
Lukás MachlicaZbynek ZajícPublished in: ICASSP (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- support vector
- small sample size
- feature extraction
- fisher criterion
- null space
- feature space
- multivariate statistical
- high dimensional data
- support vector machine svm
- subspace methods
- class separability
- discriminant features
- probabilistic model
- generative model
- principal components analysis
- discriminative information
- subspace analysis
- dealing with high dimensional data
- pattern recognition