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Boolean decomposition of binary matrices using a post-nonlinear mixture approach.

, , , , and . Signal Process., (2021)

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NMF with Sparse Regularizations in Transformed Domains., , , and . SIAM J. Imaging Sci., 7 (4): 2020-2047 (2014)Sparse blind source separation for partially correlated sources., , , and . ICIP, page 6021-6025. IEEE, (2014)Frequency-domain blind deconvolution based on mutual information rate., , and . IEEE Trans. Signal Process., 54 (5): 1771-1781 (2006)Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources., , , and . IEEE Trans. Signal Process., 63 (5): 1199-1213 (2015)Color Sparse Representations for Image Processing: Review, Models, and Prospects., , and . IEEE Trans. Image Process., 24 (11): 3978-3989 (2015)From neuronal cost-based metrics towards sparse coded signals classification., , , , , and . ESANN, (2012)Decomposition and dictionary learning for 3D trajectories., , and . Signal Process., (2014)Markovian Source Separation in Post-nonlinear Mixtures., , and . ICA, volume 3195 of Lecture Notes in Computer Science, page 702-709. Springer, (2004)Research for the Detection of Explosives at CEA: Towards Operational Use., , , , , , , , , and 9 other author(s). Future Security, volume 318 of Communications in Computer and Information Science, page 412-427. Springer, (2012)Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors., , , and . ICASSP, page 8761-8765. IEEE, (2013)