The Low-Rank Approximation of Fourth-Order Partial-Symmetric and Conjugate Partial-Symmetric Tensor
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research
Link
https://link.springer.com/content/pdf/10.1007/s40305-022-00425-5.pdf
Reference32 articles.
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2. De Lathauwer, L., Castaing, J., Cardoso, J.-F.: Fourth-order cumulant-based blind identification of underdetermined mixtures. IEEE Trans. Signal Process. 55(6), 2965–2973 (2007)
3. Jiang, B., Ma, S., Zhang, S.: Tensor principal component analysis via convex optimization. Math. Program. 150(2), 423–457 (2015)
4. Hillar, C.J., Lim, L.-H.: Most tensor problems are np-hard. J. ACM 60(6), 1–39 (2013)
5. Kofidis, E., Regalia, P.A.: On the best rank-1 approximation of higher-order supersymmetric tensors. SIAM J. Matrix Anal. Appl. 23(3), 863–884 (2002)
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