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Learning embedded label-specific features for partial multi-label learning
DOI:10.1016/j.patcog.2025.112005.png)
Abstract
En 中文
• Leveraging embedded label-specific features for partial multi-label learning. • Feature learning and disambiguation interact iteratively to improve classification. • Achieve state-of-the-art results on diverse benchmark datasets.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
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