Tensor Robust Principal Component Analysis via Non-convex Low-Rank Approximation Based on the Laplace Function
Author:
Funder
Innovative Research Group Project of the National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42967-024-00381-2.pdf
Reference42 articles.
1. Bai, Z.-Z., Pan, J.-Y.: Matrix Analysis and Computations. SIAM, Philadelphia (2021)
2. Cai, S.-T., Luo, Q.-L., Yang, M., Li, W., Xiao, M.-Q.: Tensor robust principal component analysis via non-convex low rank approximation. Appl. Sci. 9(7), 1411 (2019)
3. Chan, S.H., Khoshabeh, R., Gibson, K.B., Gill, P.E., Nguyen, T.Q.: An augmented Lagrangian method for total variation video restoration. IEEE Trans. Image Process. 20(11), 3097–3111 (2011)
4. Cichocki, A., Mandic, D., De Lathauwer, L., Zhou, G.-X., Zhao, Q.-B., Caiafa, C., Phan, H.A.: Tensor decompositions for signal processing applications: from two-way to multiway component analysis. IEEE Signal Process. Mag. 32(2), 145–163 (2015)
5. De Silva, V., Lim, L.H.: Tensor rank and the ill-posedness of the best low-rank approximation problem. SIAM J. Matrix Anal. Appl. 30(3), 1084–1127 (2008)
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