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Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization.

, , , and . CoRR, (2020)

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Challenges in multimodal data fusion., , and . EUSIPCO, page 101-105. IEEE, (2014)Multidimensional ICA and its performance analysis applied to CMB observations., , , and . ICASSP, page 3724-3727. IEEE, (2011)Joint Independent Subspace Analysis Using Second-Order Statistics., and . IEEE Trans. Signal Process., 64 (18): 4891-4904 (2016)Joint Block Diagonalization Algorithms for Optimal Separation of Multidimensional Components., , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 155-162. Springer, (2012)Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects., , and . Proc. IEEE, 103 (9): 1449-1477 (2015)A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition., and . LVA/ICA, volume 10891 of Lecture Notes in Computer Science, page 171-180. Springer, (2018)Positive Semidefinite Matrix Factorization Based on Truncated Wirtinger Flow., and . EUSIPCO, page 1035-1039. IEEE, (2020)Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization., , , and . CoRR, (2020)Joint Independent Subspace Analysis: A Quasi-Newton Algorithm., and . LVA/ICA, volume 9237 of Lecture Notes in Computer Science, page 111-118. Springer, (2015)Blind Separation of Multi-Dimensional Components via Subspace Decomposition: Performance Analysis., , and . IEEE Trans. Signal Process., 62 (11): 2894-2905 (2014)