Diversity With Cooperation: Ensemble Methods for Few-Shot Classification.
Nikita DvornikJulien MairalCordelia SchmidPublished in: ICCV (2019)
Keyphrases
- ensemble methods
- classifier ensemble
- machine learning methods
- decision trees
- majority voting
- benchmark datasets
- ensemble feature selection
- generalization ability
- ensemble learning
- ensemble classification
- ensemble classifier
- pattern recognition
- classification accuracy
- prediction accuracy
- machine learning
- bootstrap sampling
- imbalanced data
- image classification
- support vector machine svm
- individual classifiers
- decision tree learning
- support vector machine
- neural network
- random forest
- classification models
- feature subset
- classification algorithm
- feature space
- support vector
- feature selection
- base classifiers
- learning tasks
- base learners
- svm classifier
- supervised learning
- knn
- drifting concepts
- data sets