The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification.
Seulki ParkYoungkyu HongByeongho HeoSangdoo YunJin Young ChoiPublished in: CoRR (2021)
Keyphrases
- majority class
- minority class
- class imbalance
- class imbalanced
- classification accuracy
- class distribution
- classification scheme
- pattern recognition
- support vector
- cost sensitive
- context aware
- support vector machine svm
- feature vectors
- classification models
- unsupervised learning
- contextual information
- class labels
- decision boundary
- classification error
- classification rules
- machine learning
- text classification
- supervised learning
- support vector machine
- training set
- preprocessing
- high level
- feature extraction
- feature selection
- classification method
- decision trees
- attribute selection
- imbalanced data
- classification process
- classification systems
- image classification
- high dimensionality
- machine learning methods