Keyphrases
- pca lda
- face recognition
- linear discriminant analysis
- principal component analysis
- principle component analysis
- dimensionality reduction
- subspace methods
- feature extraction
- scatter matrix
- discriminant analysis
- dimension reduction
- small sample size
- feature space
- null space
- data points
- low dimensional
- high dimensional data
- face detection
- independent component analysis
- principal components
- manifold learning
- machine learning
- principal components analysis
- facial images
- support vector machine svm
- face images
- high dimensional
- pattern recognition