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A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments.

, , , и . ECML/PKDD (3), том 11908 из Lecture Notes in Computer Science, стр. 187-203. Springer, (2019)

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