Fast Multi-Instance Multi-Label Learning-Reference-Cited by-同舟云学术

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Fast Multi-Instance Multi-Label Learning

Published:2019-11-01 Issue:11 Volume:41 Page:2614-2627
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Huang Sheng-Jun^ORCID,Gao Wei,Zhou Zhi-Hua

Funder

National Key R&D Program of China

NSFC

Jiangsu SF

Collaborative Innovation Center of Novel Software Technology and Industrialization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/8855044/08423669.pdf?arnumber=8423669

Cited by 59 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

1. Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

2. Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach;IEEE Transactions on Knowledge and Data Engineering;2024-08

3. Multi-Instance Learning with One Side Label Noise;ACM Transactions on Knowledge Discovery from Data;2024-03-26

4. Multiple-instance Learning from Triplet Comparison Bags;ACM Transactions on Knowledge Discovery from Data;2024-02-12

5. A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-02

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