Boosting Statistical Local Feature Based Classifiers for Face Recognition.
Xiangsheng HuangYangsheng WangPublished in: IbPRIA (2) (2005)
Keyphrases
- face recognition
- ensemble learning
- feature selection
- randomized trees
- weak learners
- boosting framework
- ensemble classifier
- accurate classifiers
- boosting algorithms
- weak classifiers
- improving classification accuracy
- adaboost algorithm
- subspace methods
- majority voting
- statistical tests
- recognition rate
- ensemble methods
- face detection
- ensemble classification
- decision stumps
- support vector
- discriminative classifiers
- machine learning algorithms
- feature set
- multiclass classification
- facial expressions
- discriminant analysis
- training set
- multiple classifier systems
- face images
- random forests
- weighted voting
- strong classifier
- decision trees
- boosted classifiers
- test set
- learning algorithm
- semi supervised learning
- naive bayes
- facial images
- human faces
- svm classifier
- sparse representation
- binary classification problems
- classifier ensemble
- training samples
- bayesian classifiers
- combining multiple
- machine learning
- cost sensitive
- feature extraction
- linear discriminant analysis