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Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1., , , , , and . CoRR, (2016)Tensor Deflation for CANDECOMP/PARAFAC - Part II: Initialization and Error Analysis., , and . IEEE Trans. Signal Processing, 63 (22): 5939-5950 (2015)Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis., , , , , , and . IEEE Signal Process. Mag., 32 (2): 145-163 (2015)Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification., and . Neurocomputing, 74 (11): 1956-1969 (2011)Noninvasive BCIs: Multiway Signal-Processing Array Decompositions., , , , , , , , , and . IEEE Computer, 41 (10): 34-42 (2008)Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions., , , , , and . Foundations and Trends in Machine Learning, 9 (4-5): 249-429 (2016)Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC., , and . SIAM J. Matrix Analysis Applications, 34 (1): 126-147 (2013)Tensor Deflation for CANDECOMP/PARAFAC. Part 3: Rank Splitting., , and . CoRR, (2015)On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms, , and . CoRR, (2012)On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach., , , , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 297-305. Springer, (2012)