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Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling.

, , , , and . CoRR, (2018)

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Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization., , , and . IEEE Access, (2018)An Efficient Tensor Completion Method via New Latent Nuclear Norm., , , and . CoRR, (2019)Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space., , and . Neural Comput. Appl., 35 (9): 7003-7016 (March 2023)Online subspace learning and imputation by Tensor-Ring decomposition., , and . Neural Networks, (2022)Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion., , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (5): 2451-2465 (May 2023)Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion., , , and . ICASSP, page 3142-3146. IEEE, (2019)An Efficient Tensor Completion Method Via New Latent Nuclear Norm., , , and . IEEE Access, (2020)A new canonical polyadic decomposition algorithm with improved stability and its applications to biomedical signal processing., , and . Clust. Comput., 20 (2): 1449-1455 (2017)An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition., , , and . APSIPA, page 1344-1349. IEEE, (2018)Low Tensor-Ring Rank Completion by Parallel Matrix Factorization., , , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (7): 3020-3033 (2021)