Generalized Low Dimensional Feature Subspace for Robust Face Recognition on Unseen datasets using Kernel Correlation Feature Analysis.
Ramzi AbiantunMarios SavvidesB. V. K. Vijaya KumarPublished in: ICASSP (1) (2007)
Keyphrases
- feature analysis
- robust face recognition
- low dimensional
- correlation filters
- high dimensional feature space
- feature space
- input space
- dimension reduction
- high dimensional
- feature representation
- feature extraction
- dimensionality reduction
- subspace learning
- principal component analysis
- face recognition
- linear discriminant analysis
- high dimensional data
- kernel function
- training set
- manifold learning
- data points
- data sets
- high dimensionality
- sparse coding
- support vector machine svm