A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition.
Laurent El ShafeyChris McCoolRoy WallaceSébastien MarcelPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- discriminant features
- feature extraction
- dimension reduction
- support vector
- null space
- small sample size
- feature space
- principal components analysis
- high dimensional data
- support vector machine svm
- equivalence relationship
- generative model
- linear discriminant
- multivariate statistical
- discriminative information
- class separability
- scatter matrix
- subspace methods
- fisher criterion
- probabilistic model
- generalized discriminant analysis
- graph embedding
- machine learning
- utility function
- least squares
- data analysis