Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding.
Zhao ZhangWeiming JiangYang WangQiaolin YeMingbo ZhaoMingliang XuMeng WangPublished in: ICDM (2021)
Keyphrases
- class imbalance
- classification accuracy
- decision trees
- pattern recognition
- discriminative learning
- feature selection
- support vector
- feature extraction
- imbalanced datasets
- discriminative features
- unsupervised learning
- image classification
- discriminative information
- supervised learning
- classification models
- object category recognition
- binary classification problems
- class discrimination
- machine learning
- pattern classification
- classification method
- text classification
- feature vectors
- feature space
- dimension reduction
- vector space
- multiclass classification
- classification algorithm
- svm classifier
- support vector machine
- single class
- visual classification
- imbalanced data sets