Classification of vehicle type and make by combined features and random subspace ensemble.
Bailing ZhangChihang ZhaoJie HePublished in: Int. J. Comput. Vis. Robotics (2012)
Keyphrases
- random subspace
- random forest
- feature set
- classification accuracy
- ensemble methods
- classifier fusion
- random sampling
- feature extraction
- feature vectors
- feature subspace
- fusion scheme
- classification models
- feature space
- ensemble classifier
- feature subset
- random subspaces
- feature selection
- benchmark datasets
- ensemble learning
- decision trees
- svm classifier
- support vector
- classifier ensemble
- weak classifiers
- base classifiers
- pattern recognition
- majority voting
- feature representation
- training data
- machine learning methods
- base learners
- regression problems
- comparative analysis
- random forests
- multiple classifier systems
- support vector machine
- selective sampling
- class labels
- image classification
- classification systems
- voting scheme
- nearest neighbor classifier
- supervised learning
- text classification
- support vector machine svm