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A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization.

, and . IEEE Signal Process. Lett., (2022)

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Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources., , and . ICA, volume 3195 of Lecture Notes in Computer Science, page 398-405. Springer, (2004)Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images., and . WHISPERS, page 1-4. IEEE, (2013)A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning., , , , and . ICASSP, page 700-704. IEEE, (2019)Kernel PCA Based Estimation of the Mixing Matrix in Linear Instantaneous Mixtures of Sparse Sources., and . ICASSP (5), page 669-672. IEEE, (2006)Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization., , , and . CoRR, (2020)Algorithms for Nonnegative Matrix Factorization with the β-Divergence., and . Neural Comput., 23 (9): 2421-2456 (2011)Phase recovery with Bregman divergences for audio source separation., , , and . CoRR, (2020)Leveraging the structure of musical preference in content-aware music recommendation., and . CoRR, (2020)Bayesian mean-parameterized nonnegative binary matrix factorization., , and . Data Min. Knowl. Discov., 34 (6): 1898-1935 (2020)An Inertial Newton Algorithm for Deep Learning., , , and . J. Mach. Learn. Res., (2021)