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Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions., , , , , , , , and . EMBC, page 660-663. IEEE, (2019)On Best Low Rank Approximation of Positive Definite Tensors., and . SIAM J. Matrix Anal. Appl., 44 (2): 867-893 (June 2023)Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor., and . SIAM J. Matrix Anal. Appl., 43 (1): 328-369 (2022)Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions., , and . IEEE J. Sel. Top. Signal Process., 15 (3): 491-505 (2021)Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors., , , and . Numer. Algorithms, 51 (2): 179-194 (2009)Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array., , , and . Sensors, 17 (4): 930 (2017)Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification., and . EUSIPCO, page 1080-1084. IEEE, (2021)Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application., , and . EUSIPCO, page 650-654. IEEE, (2023)Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach., and . SAM, page 441-444. IEEE, (2014)Shift invariance, incomplete arrays and coupled CPD: A case study., and . SAM, page 1-5. IEEE, (2016)