An Algebraic-Geometric Approach for Linear Regression Without Correspondences.

MLA

Tsakiris, Manolis C., et al. “An Algebraic-Geometric Approach for Linear Regression Without Correspondences.” IEEE Transactions on Information Theory, vol. 66, no. 8, Aug. 2020, pp. 5130–44. EBSCOhost, https://doi.org/10.1109/TIT.2020.2977166.

APA

Tsakiris, M. C., Peng, L., Conca, A., Kneip, L., Shi, Y., & Choi, H. (2020). An Algebraic-Geometric Approach for Linear Regression Without Correspondences. IEEE Transactions on Information Theory, 66(8), 5130–5144. https://doi.org/10.1109/TIT.2020.2977166

Chicago

Tsakiris, Manolis C., Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, and Hayoung Choi. 2020. “An Algebraic-Geometric Approach for Linear Regression Without Correspondences.” IEEE Transactions on Information Theory 66 (8): 5130–44. doi:10.1109/TIT.2020.2977166.