Keyphrases
- base classifiers
- boosting algorithms
- weak learners
- ensemble methods
- adaboost algorithm
- multi class
- ensemble learning
- weak classifiers
- learning algorithm
- decision trees
- strong classifier
- training set
- face detection
- classification error
- random forest
- cost sensitive
- decision tree ensembles
- naive bayes
- decision stumps
- base learners
- loss function
- multi class learning
- class distribution
- training error
- ensemble classifier
- classifier ensemble
- feature selection
- test data
- random forests
- class labels
- face detector
- multiclass classification
- combining multiple
- feature set
- support vector machine
- upper bound
- object detection
- machine learning
- weak hypotheses
- training samples
- neural network