Maximizing all margins: Pushing face recognition with Kernel Plurality.
Ritwik KumarArunava BanerjeeBaba C. VemuriHanspeter PfisterPublished in: ICCV (2011)
Keyphrases
- face recognition
- kernel discriminant analysis
- discriminant analysis
- face images
- kernel pca
- kernel fisher discriminant analysis
- kernel function
- generalized discriminant analysis
- support vector
- face detection
- human faces
- face identification
- feature space
- recognition rate
- linear discriminant analysis
- computer vision
- principal component analysis
- kernel methods
- feature extraction
- facial images
- face databases
- recognition accuracy
- principle component analysis
- local binary pattern
- subspace learning
- component analysis
- reproducing kernel hilbert space
- kernel matrix
- subspace methods
- kernel machines
- kernel principal component analysis
- sparse representation
- robust face recognition
- soft margin
- facial expressions
- np hard
- decision trees