Cite
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution.
MLA
Wang, Shuang, et al. “How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution.” IEEE Transactions on Image Processing, vol. 27, no. 3, Mar. 2018, pp. 1086–99. EBSCOhost, https://doi.org/10.1109/TIP.2017.2768185.
APA
Wang, S., Yue, B., Liang, X., & Jiao, L. (2018). How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution. IEEE Transactions on Image Processing, 27(3), 1086–1099. https://doi.org/10.1109/TIP.2017.2768185
Chicago
Wang, Shuang, Bo Yue, Xuefeng Liang, and Licheng Jiao. 2018. “How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution.” IEEE Transactions on Image Processing 27 (3): 1086–99. doi:10.1109/TIP.2017.2768185.