Hierarchical Ensemble of Global and Local Classifiers for Face Recognition.
Yu SuShiguang ShanXilin ChenWen GaoPublished in: ICCV (2007)
Keyphrases
- face recognition
- ensemble learning
- multiple classifiers
- training data
- classifier ensemble
- ensemble classifier
- training set
- majority voting
- subspace methods
- feature selection
- ensemble pruning
- individual classifiers
- randomized trees
- multiple classifier systems
- majority vote
- decision tree classifiers
- weighted voting
- diversity measures
- recognition rate
- support vector
- class label noise
- final classification
- discriminant analysis
- face images
- principal component analysis
- classifier combination
- learning algorithm
- accurate classifiers
- rule induction algorithm
- mining concept drifting data streams
- computer vision
- decision trees
- random forests
- neural network
- neighborhood preserving
- imbalanced data
- random forest
- one class support vector machines
- hierarchical models
- machine learning algorithms
- combining classifiers
- classifier training
- feature extraction
- facial expressions
- face detection
- sparse representation
- feature ranking
- svm classifier
- classification algorithm
- facial images
- ensemble methods
- combining multiple
- weak learners
- binary classification problems
- weak classifiers
- fusion methods