Bagging-Adaboost Ensemble with Genetic Algorithm Post Optimization for Object Detection.
Xusheng TangZhe-Lin ShiDe-Qiang LiLong MaDan ChenPublished in: ICNC (4) (2009)
Keyphrases
- object detection
- ensemble methods
- ensemble learning
- base classifiers
- genetic algorithm
- multi class
- classifier ensemble
- majority voting
- base learners
- random forest
- ensemble members
- ensemble classification
- face detection
- optimization method
- real coded
- random forests
- decision trees
- decision tree ensembles
- weak classifiers
- ensemble classifier
- optimization problems
- class label noise
- ensemble selection
- neural network
- optimization algorithm
- benchmark datasets
- computer vision
- immune genetic algorithm
- rotation forest
- training set
- object class
- imbalanced data
- object categories
- machine learning methods
- multi objective
- training samples
- generalization ability
- metaheuristic
- learning algorithm
- prediction accuracy
- cost sensitive
- object recognition
- haar wavelets
- training data
- decision stumps
- machine learning
- adaboost algorithm
- evolutionary algorithm
- simulated annealing
- weighted voting
- decision tree classifiers
- active learning
- boosting algorithms
- support vector machine
- feature set
- randomized trees
- tree ensembles
- pedestrian detection
- genetic algorithm ga