Regularized Negative Label Relaxation Least Squares Regression for Face Recognition.
Kai HeYali PengShigang LiuJun LiPublished in: Neural Process. Lett. (2020)
Keyphrases
- face recognition
- discriminant analysis
- objective function
- recognition rate
- local binary pattern
- face images
- positive and negative
- kernel discriminant analysis
- feature extraction
- multi label
- sparse representation
- recognition accuracy
- face databases
- human faces
- risk minimization
- least squares
- face detection
- computer vision
- regularized least squares
- face recognition systems
- iterative algorithms
- convex relaxation
- image labeling
- robust face recognition
- lagrangian relaxation
- pose variations
- principal component analysis
- linear discriminant analysis
- infrared
- negative examples
- face recognition algorithms
- multi class
- tensor factorization
- probabilistic relaxation
- multiscale