Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling-Reference-Cited by-同舟云学术

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Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling

Published:2024-10 Issue:10 Volume:46 Page:6509-6524
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Yejiang¹^ORCID,Zhao Yuhai¹^ORCID,Wang Zhengkui²^ORCID,Zhang Chengqi³^ORCID,Wang Xingwei⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, and the Key Laboratory of Medical lmage Computing, Northeastern University, Shenyang, China

2. InfoComm Technology Cluster, Singapore Institute of Technology, Singapore

3. School of Computer Science and Technology, University of Technology Sydney, Sydney, NSW, Australia

4. School of Computer Science and Technology, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Singapore Institute of Technology Ignition

AcRF Tier 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10666888/10486204.pdf?arnumber=10486204

Reference78 articles.

1. Solving the multiple instance problem with axis-parallel rectangles

2. Multi-instance learning by treating instances as non-I.I.D. samples

3. Image Annotation by Graph-Based Inference With Integrated Multiple/Single Instance Representations

4. Boosting for Multi-Graph Classification

5. Semi-supervised multi-graph classification using optimal feature selection and extreme learning machine

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