Principal Component Analysis-Linear Discriminant Analysis Feature Extractor for Pattern Recognition
Aamir KhanHasan FarooqPublished in: CoRR (2012)
Keyphrases
- linear discriminant analysis
- feature extractor
- feature extraction
- principal component analysis
- pattern recognition
- discriminant analysis
- dimensionality reduction
- face recognition
- dimension reduction
- support vector machine svm
- principal components
- image processing
- image classification
- null space
- feature space
- feature vectors
- linear projection
- fisher criterion
- covariance matrix
- feature selection
- low dimensional
- face images
- independent component analysis
- high dimensional data
- singular value decomposition
- texture analysis
- texture features
- local binary pattern
- texture classification
- feature set
- data sets
- recognition scheme
- support vector machine
- scatter matrix
- machine learning