Boosting semi-supervised face recognition with raw faces.
Yunze ChenJunjie HuangZheng ZhuXianlei LongQingyi GuPublished in: Image Vis. Comput. (2022)
Keyphrases
- face recognition
- semi supervised
- face images
- partially labeled data
- human faces
- subspace learning
- boosting framework
- face identification
- face recognition systems
- recognizing faces
- face databases
- semi supervised learning
- recognition rate
- face detection
- unlabeled data
- labeled data
- pose variations
- supervised learning
- discriminant analysis
- semi supervised clustering
- kernel machines
- face space
- linear discriminant analysis
- active learning
- face recognition algorithms
- semi supervised classification
- recognize faces
- raw data
- local binary pattern
- feature extraction
- pairwise
- principal component analysis
- manifold learning
- multi view
- face detector
- pairwise constraints
- adaboost algorithm
- computer vision
- sparse representation
- face analysis
- ensemble learning
- learning algorithm
- orl database
- face verification
- co training
- ensemble methods
- weak classifiers
- facial pose
- feature selection
- d morphable model
- facial images
- loss function
- frontal face
- facial expressions
- support vector
- face representation
- machine learning
- clustering algorithm
- training data
- high resolution
- facial features
- cost sensitive
- weak learners
- base classifiers
- metric learning
- illumination variations