Face Recognition using Layered Linear Discriminant Analysis and Small Subspace.
Muhammad Imran RazzakMuhammad Khurram KhanKhaled AlghathbarRubiyah YousafPublished in: CIT (2010)
Keyphrases
- linear discriminant analysis
- principal component analysis
- dimensionality reduction
- null space
- discriminant analysis
- subspace methods
- high dimensional data
- face recognition
- discriminant information
- face images
- feature space
- principal components analysis
- linear projection
- feature extraction
- qr decomposition
- subspace analysis
- dimension reduction
- discriminant features
- locality preserving projections
- scatter matrices
- small sample size
- linear subspace
- scatter matrix
- subspace learning
- human faces
- subspace projection
- low dimensional
- discriminative information
- fisher criterion
- face databases
- principal components
- support vector
- kernel pca
- support vector machine svm
- subspace clustering
- facial expressions
- linear discriminant
- class separability
- high dimensional
- feature selection
- image processing
- independent component analysis
- nearest neighbor
- pattern recognition
- covariance matrix
- manifold learning
- recognition algorithm
- subspace clusters
- novelty detection
- lower dimensional
- data mining
- machine learning