Boosting Object Detection Ensembles with Error Diversity.
Ka Ho ChowLing LiuPublished in: ICDM (2022)
Keyphrases
- object detection
- ensemble methods
- ensemble learning
- base classifiers
- diversity measures
- negative correlation learning
- error function
- classifier ensemble
- ensemble members
- error rate
- decision tree ensembles
- decision trees
- multi class
- learning algorithm
- scene understanding
- object detectors
- object class
- object categories
- decision stumps
- computer vision
- boosted classifiers
- scene recognition
- face detection
- object recognition
- weighted voting
- feature selection
- ensemble classifier
- boosting algorithms
- neural network ensemble
- adaboost algorithm
- cost sensitive
- machine learning methods
- random forests
- generalization error
- object detection and pose estimation
- deformable part models
- detection method
- multi objective
- weak learners
- base learners
- prediction accuracy
- object classification
- machine learning
- generalization ability