Multi-Label Classification With High-Rank and High-Order Label Correlations-Reference-Cited by-同舟云学术

Multi-Label Classification With High-Rank and High-Order Label Correlations

Author:

Si Chongjie¹,Jia Yuheng¹^ORCID,Wang Ran²^ORCID,Zhang Min-Ling¹^ORCID,Feng Yanghe³^ORCID,Chongxiao Qu⁴

Affiliation:

1. School of Computer Science and Engineering, Southeast University, Nanjing, China

2. College of Mathematics and Statistics, Shenzhen University, Shenzhen, China

3. College of Systems Engineering, National University of Defense Technology, China

4. 52nd Research Institute of China Electronics Technology Group, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Multi-label learning of label-specific features via landmark selection and correlation Information;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

4. Label distribution learning with high‐order label correlations;Concurrency and Computation: Practice and Experience;2023-04-12