Abstract | ||
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•We propose a new framework named CL to embed the features and labels simultaneously.•The embedding processes of the two space in CL are with mutual guidance.•We propose a simple yet effective instantiation of CL named CMLL.•CMLL is compatible with flexible multi-label classifiers. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1016/j.patcog.2021.107833 | Pattern Recognition |
Keywords | DocType | Volume |
Machine learning,Multi-label classification,Label compression,Compact learning | Journal | 113 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 26 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jiaqi Lv | 1 | 16 | 3.57 |
Tianran Wu | 2 | 0 | 0.34 |
Chenglun Peng | 3 | 0 | 0.34 |
Yunpeng Liu | 4 | 0 | 1.35 |
xu ning | 5 | 25 | 15.72 |
Xin Geng | 6 | 1557 | 83.54 |