Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling.
Jiawei LiXingchun XiangTao DaiShu-Tao XiaPublished in: VCIP (2019)
Keyphrases
- convolutional neural networks
- bootstrap sampling
- ensemble methods
- convolutional network
- imbalanced data
- neural network
- prediction accuracy
- random sampling
- training set
- cross validation
- base classifiers
- feature selection
- benchmark datasets
- sample size
- parameter space
- active learning
- random forests
- sampling algorithm
- sampling strategy
- decision trees
- data sets