You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -20,7 +20,7 @@ The code in this repo is being released under the GNU General Public License v3.
20
20
21
21
**Paper Citation:** M. Ghassemi, Z. Shakeri, A.D. Sarwate, and W.U. Bajwa, "Learning mixtures of separable dictionaries for tensor data: Analysis and algorithms," IEEE Trans. Signal Processing, vol. 68, pp. 33-48, 2020; doi: [10.1109/TSP.2019.2952046](https://doi.org/10.1109/TSP.2019.2952046).
22
22
23
-
**Codebase Citation:** J. Shenouda, M. Ghassemi, Z. Shakeri, A.D. Sarwate, and W.U. Bajwa, "Codebase---Learning mixtures of separable dictionaries for tensor data: Analysis and algorithms," GitHub Repository, 2020; doi: [10.5281/zenodo.3901853](https://doi.org/10.5281/zenodo.3901853).
23
+
**Codebase Citation:** J. Shenouda, M. Ghassemi, Z. Shakeri, A.D. Sarwate, and W.U. Bajwa, "Codebase---Learning mixtures of separable dictionaries for tensor data: Analysis and algorithms," GitHub Repository, 2020; doi: [10.5281/zenodo.3901852](https://doi.org/10.5281/zenodo.3901852).
24
24
25
25
## Computing Environment
26
26
All of our computational experiments were done using MATLAB R2019a. All the experiments were carried out on a Linux high-performance computing (HPC) cluster provided by the Rutgers Office of Advanced Research in Computing; specifically, all of the experiments were run on:
0 commit comments