Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems
Publication
, Journal Article
Li, H-J; Wang, Z; Pei, J; Cao, J; Shi, Y
Published in: IEEE Transactions on Knowledge and Data Engineering
2020
Duke Scholars
Published In
IEEE Transactions on Knowledge and Data Engineering
Publication Date
2020
Publisher
IEEE
Related Subject Headings
- Information Systems
- 46 Information and computing sciences
- 08 Information and Computing Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Li, H.-J., Wang, Z., Pei, J., Cao, J., & Shi, Y. (2020). Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems. IEEE Transactions on Knowledge and Data Engineering.
Li, Hui-Jia, Zhen Wang, Jian Pei, Jie Cao, and Yong Shi. “Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems.” IEEE Transactions on Knowledge and Data Engineering, 2020.
Li H-J, Wang Z, Pei J, Cao J, Shi Y. Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems. IEEE Transactions on Knowledge and Data Engineering. 2020;
Li, Hui-Jia, et al. “Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems.” IEEE Transactions on Knowledge and Data Engineering, IEEE, 2020.
Li H-J, Wang Z, Pei J, Cao J, Shi Y. Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems. IEEE Transactions on Knowledge and Data Engineering. IEEE; 2020;
Published In
IEEE Transactions on Knowledge and Data Engineering
Publication Date
2020
Publisher
IEEE
Related Subject Headings
- Information Systems
- 46 Information and computing sciences
- 08 Information and Computing Sciences