DML-PL: deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning
Traditional class imbalanced learning algorithms require training data to be labeled, whereas semi-supervised learning algorithms assume that the class distribution is balanced. However, class imbalance and insufficient labeled data problems often coexist in practical real-world applications. Curren...
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Main Authors: | , , |
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/170840 |
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機構: | Nanyang Technological University |
語言: | English |