Cite
An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning.
MLA
Gao, Lei, et al. “An Optimal Edge-Weighted Graph Semantic Correlation Framework for Multi-View Feature Representation Learning.” ACM Transactions on Multimedia Computing, Communications & Applications, vol. 20, no. 7, July 2024, pp. 1–23. EBSCOhost, https://doi.org/10.1145/3649466.
APA
Gao, L., Guo, Z., & Guan, L. (2024). An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning. ACM Transactions on Multimedia Computing, Communications & Applications, 20(7), 1–23. https://doi.org/10.1145/3649466
Chicago
Gao, Lei, Zheng Guo, and Ling Guan. 2024. “An Optimal Edge-Weighted Graph Semantic Correlation Framework for Multi-View Feature Representation Learning.” ACM Transactions on Multimedia Computing, Communications & Applications 20 (7): 1–23. doi:10.1145/3649466.