Found: 19
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On the Complexity of Robust PCA and ℓ1-Norm Low-Rank Matrix Approximation.
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- Mathematics of Operations Research, 2018, v. 43, n. 4, p. 1072, doi. 10.1287/moor.2017.0895
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Heuristics for exact nonnegative matrix factorization.
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- Journal of Global Optimization, 2016, v. 65, n. 2, p. 369, doi. 10.1007/s10898-015-0350-z
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A continuous characterization of the maximum-edge biclique problem.
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- Journal of Global Optimization, 2014, v. 58, n. 3, p. 439, doi. 10.1007/s10898-013-0053-2
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Optimizing over the properly efficient set of convex multi-objective optimization problems.
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- Annals of Operations Research, 2020, v. 295, n. 2, p. 575, doi. 10.1007/s10479-020-03820-4
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- Article
Work-to-family interface and well-being: The role of workload, emotional load, support and recognition from supervisors.
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- SAJIP: South African Journal of Industrial Psychology, 2020, v. 46, p. 1, doi. 10.4102/sajip.v46i0.1628
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Matrix-wise ℓ0-constrained sparse nonnegative least squares.
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- Machine Learning, 2022, v. 111, n. 12, p. 4453, doi. 10.1007/s10994-022-06260-2
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- Article
Characterization of the dissipative mappings and their application to perturbations of dissipative‐Hamiltonian systems.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 6, p. 1, doi. 10.1002/nla.2402
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Accelerating block coordinate descent for nonnegative tensor factorization.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 5, p. 1, doi. 10.1002/nla.2373
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On approximating the nearest Ω‐stable matrix.
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- Numerical Linear Algebra with Applications, 2020, v. 27, n. 3, p. 1, doi. 10.1002/nla.2282
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Computing the nearest stable matrix pairs.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 5, p. 1, doi. 10.1002/nla.2153
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An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization.
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- Journal of Machine Learning Research, 2014, v. 15, n. 4, p. 1249
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Dimensionality reduction, classification, and spectral mixture analysis using non-negative underapproximation.
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- Optical Engineering, 2011, v. 50, n. 2, p. 027001
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Orthogonal joint sparse NMF for microarray data analysis.
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- Journal of Mathematical Biology, 2019, v. 79, n. 1, p. 223, doi. 10.1007/s00285-019-01355-2
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A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization.
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- Journal of Optimization Theory & Applications, 2021, v. 190, n. 1, p. 234, doi. 10.1007/s10957-021-01880-5
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Solving the Maximum Clique Problem with Symmetric Rank-One Non-negative Matrix Approximation.
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- Journal of Optimization Theory & Applications, 2017, v. 173, n. 1, p. 279, doi. 10.1007/s10957-016-1043-6
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Inertial alternating direction method of multipliers for non-convex non-smooth optimization.
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- Computational Optimization & Applications, 2022, v. 83, n. 1, p. 247, doi. 10.1007/s10589-022-00394-8
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Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization.
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- Computational Optimization & Applications, 2021, v. 79, n. 3, p. 681, doi. 10.1007/s10589-021-00286-3
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Algorithms for positive semidefinite factorization.
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- Computational Optimization & Applications, 2018, v. 71, n. 1, p. 193, doi. 10.1007/s10589-018-9998-x
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