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Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition., , and . IEEE Signal Process. Lett., 23 (7): 993-997 (2016)Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (11): 4622-4636 (2020)A compressive sensing approach for progressive transmission of images., , , , and . DPS, page 1-5. IEEE, (2009)Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential., , , , and . LVA/ICA, volume 6365 of Lecture Notes in Computer Science, page 620-628. Springer, (2010)An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4., , and . ICASSP, page 2547-2551. IEEE, (2017)From basis components to complex structural patterns., , , , and . ICASSP, page 3228-3232. IEEE, (2013)Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization., , and . LVA/ICA, volume 10169 of Lecture Notes in Computer Science, page 36-46. (2017)On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations., , , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 288-296. Springer, (2012)Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations., , , and . ICONIP (1), volume 6443 of Lecture Notes in Computer Science, page 262-269. Springer, (2010)Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering., , , and . ICONIP (3), volume 9949 of Lecture Notes in Computer Science, page 87-95. (2016)