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Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data.

, , , and . IEEE Signal Process. Lett., (2022)

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Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization., , , and . IEEE Access, (2018)Low-rank sparse fully-connected tensor network for tensor completion., , , , , and . Pattern Recognit., (2025)Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space., , and . Neural Comput. Appl., 35 (9): 7003-7016 (March 2023)Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion., , , and . ICASSP, page 3142-3146. IEEE, (2019)Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion., , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (5): 2451-2465 (May 2023)An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition., , , and . APSIPA, page 1344-1349. IEEE, (2018)Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling., , , , and . ICASSP, page 3022-3026. IEEE, (2019)Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling., , , , and . CoRR, (2018)Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data., , , and . IEEE Signal Process. Lett., (2022)Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion., , , and . CoRR, (2019)