Multi-label data often contain high-dimensional features, outlier instances, and noisy labels, all of which can lead to the curse of dimensionality and decreased performance in downstream tasks. Although numerous data reduction methods have been developed, existing approaches face two major limitations: 1) existing met...
Li Yang, Yan-Yong Huang, Jin-Yuan Chang et al.· Proceedings of the Thirty-Fi...· 0 citations
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