Cross‐media search method based on complementary attention and generative adversarial network for social networks-Reference-Cited by-同舟云学术

Cross‐media search method based on complementary attention and generative adversarial network for social networks

Published:2021-11-03 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Shi Lei¹²^ORCID,Du Junping³^ORCID,Cheng Gang⁴^ORCID,Liu Xia⁵^ORCID,Xiong Zenggang⁶^ORCID,Luo Jia⁷^ORCID

Affiliation:

1. State Key Laboratory of Media Convergence and Communication Communication University of China Beijing China

2. Institute of Science and Technology Information of China Beijing China

3. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science Beijing University of Posts and Telecommunications Beijing China

4. School of Computer Science North China Institute of Science and Technology Beijing China

5. School of Opto‐electronic Information Science and Technology Yantai University Yantai China

6. School of Computer and Information Science Hubei Engineering University Xiaogan China

7. College of Economics and Management Beijing University of Technology Beijing China

Funder

National Basic Research Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22723

Reference46 articles.

1. How does social network diversity affect users’ lurking intention toward social network services? A role perspective

2. A hybrid personalized scholarly venue recommender system integrating social network analysis and contextual similarity

3. Cross-modal subspace learning via kernel correlation maximization and discriminative structure-preserving

4. Aggregating Image and Text Quantized Correlated Components

5. Subspace learning by kernel dependence maximization for cross-modal retrieval

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