Feature-based Perturbation Makes a Better Ensemble Learning for SSL Classification.
Jiaqi WuJunbiao PangQingming HuangPublished in: CVIPPR (2024)
Keyphrases
- ensemble learning
- generalization ability
- multiple classifiers
- ensemble classifier
- weak learners
- support vector machine
- ensemble methods
- classification accuracy
- machine learning
- feature vectors
- supervised learning
- decision trees
- feature selection
- support vector machine svm
- individual classifiers
- random forest
- base classifiers
- class labels
- semi supervised learning
- support vector
- feature space
- benchmark datasets
- mutual subspace method
- feature extraction
- semi supervised
- image classification
- image registration
- classification models
- concept drift
- prior knowledge
- text classification
- machine learning methods
- similarity measure
- classification algorithm
- machine learning algorithms