Boosting Semi-Supervised Face Recognition with Noise Robustness.
Yuchi LiuHailin ShiHang DuRui ZhuJun WangLiang ZhengTao MeiPublished in: CoRR (2021)
Keyphrases
- semi supervised
- face recognition
- greater robustness
- partially labeled data
- semi supervised learning
- boosting framework
- subspace learning
- face images
- noisy data
- recognition rate
- labeled data
- semi supervised classification
- active learning
- pairwise
- discriminant analysis
- human faces
- linear discriminant analysis
- ensemble methods
- noise level
- noise model
- missing data
- unlabeled data
- learning algorithm
- feature selection
- random noise
- feature vectors
- supervised learning
- multi view
- facial images
- ensemble learning
- co training
- face databases
- pairwise constraints
- feature extraction
- semi supervised clustering
- weak learners
- decision trees
- face detection
- machine learning