Metric Learning-Based Multi-Instance Multi-Label Classification With Label Correlation
In multi-instance multi-label learning (MIML) problems, predicting the labels of unseen bags becomes difficult when the labels of their instances are not provided directly. Therefore, it is necessary to exploit the label correlations to enhance the accuracy of the MIML classification. This paper pre...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8759859/ |