Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication.
Aleksandr SizovKong-Aik LeeTomi KinnunenPublished in: S+SSPR (2014)
Keyphrases
- linear discriminant analysis
- biometric authentication
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- high dimensional data
- dimension reduction
- feature extraction
- small sample size
- discriminant features
- support vector
- biometric authentication systems
- feature space
- null space
- support vector machine svm
- biometric systems
- fisher criterion
- neural network
- low dimensional
- knn
- high dimensional
- feature selection
- machine learning