A Terminal Classification Scheme with Imbalanced Dataset Based on Low-Complexity Time-LSTM.
Rui YangXuannan LiuWenbo XuJie WuYang ZhangPublished in: ICC Workshops (2021)
Keyphrases
- low complexity
- classification scheme
- imbalanced datasets
- learning from imbalanced data
- cost sensitive learning
- classification schemes
- class distribution
- ensemble methods
- motion estimation
- sampling methods
- classification method
- imbalanced data
- class imbalance
- computational complexity
- decision trees
- cost sensitive
- training dataset
- minority class
- clustering algorithm
- feature selection algorithms
- neural network
- small number
- k nearest neighbor
- machine learning methods
- support vector machine
- benchmark datasets
- distributed video coding