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A High-Order Tensor Completion Algorithm Based on Fully-Connected Tensor Network Weighted Optimization.

P. Yang, Y. Huang, Y. Qiu, W. Sun, и G. Zhou. PRCV (1), том 13534 из Lecture Notes in Computer Science, стр. 411-422. Springer, (2022)

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Yuning Yang

Yuning Chai

Yuning Guo

Xiuhui Qiu

Xueping Qiu

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Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering.Y. Qiu, G. Zhou, и K. Xie. CoRR, (2017)Orthogonal Random Projection Based Tensor Completion for Image Recovery.Y. Feng, G. Zhou, Y. Qiu, и W. Sun. APSIPA, стр. 1350-1354. IEEE, (2018)Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective.T. Li, G. Zhou, Y. Qiu, и Q. Zhao. J. Mach. Learn. Res., (2022)An Efficient Tensor Completion Method Via New Latent Nuclear Norm.J. Yu, W. Sun, Y. Qiu, и Y. Huang. IEEE Access, (2020)A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis.Z. Huang, G. Zhou, Y. Qiu, Y. Yu, и H. Dai. Int. J. Mach. Learn. Cybern., 13 (12): 3691-3710 (2022)Imbalanced low-rank tensor completion via latent matrix factorization.Y. Qiu, G. Zhou, J. Zeng, Q. Zhao, и S. Xie. Neural Networks, (2022)Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train.Y. Qiu, G. Zhou, Z. Huang, Q. Zhao, и S. Xie. CoRR, (2021)A Novel Tensor Ring Sparsity Measurement for Image Completion.J. Zeng, Y. Qiu, Y. Ma, A. Wang, и Q. Zhao. Entropy, 26 (2): 105 (февраля 2024)Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution.T. Li, G. Zhou, Y. Qiu, и Q. Zhao. CoRR, (2021)Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train.Y. Qiu, G. Zhou, Z. Huang, Q. Zhao, и S. Xie. IEEE Signal Process. Lett., (2022)

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