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Tensor Decompositions: A New Concept in Brain Data Analysis?. CoRR, (2013)Video denoising using low rank tensor decomposition., , , , , and . ICMV, volume 10341 of SPIE Proceedings, page 103410V. SPIE, (2016)Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization., , , and . IEEE Access, (2018)An analysis of the CCA approach for blind source separation and its adaptive realization., , and . ISCAS, IEEE, (2006)Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials., , , , , , and . MLSP, page 1-6. IEEE, (2012)Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis., , and . ICONIP (3), volume 7665 of Lecture Notes in Computer Science, page 84-91. Springer, (2012)Bayesian Robust Tensor Factorization for Incomplete Multiway Data., , , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (4): 736-748 (2016)A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations., , , and . Neural Comput., 20 (3): 636-643 (2008)A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals., , , , , , and . IEEE Access, (2019)Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition., , and . IEEE Signal Process. Lett., 23 (7): 993-997 (2016)