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ORCIDNicolas Gillis
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2020 – today
- 2024
[j73]Flavia Esposito
, Syed Muhammad Atif, Nicolas Gillis:
Accelerated SVD-based initialization for nonnegative matrix factorization. Comput. Appl. Math. 43(6): 392 (2024)- [j72]Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis:
Deep Nonnegative Matrix Factorization With Beta Divergences. Neural Comput. 36(11): 2365-2402 (2024) - [j71]Maryam Abdolali, Giovanni Barbarino, Nicolas Gillis:
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization. SIAM J. Imaging Sci. 17(4): 2362-2391 (2024) - [j70]Nicolas Gillis, Paul Van Dooren:
Assigning Stationary Distributions to Sparse Stochastic Matrices. SIAM J. Matrix Anal. Appl. 45(4): 2184-2210 (2024) - [j69]Nicolas Gillis, Robert Luce:
Checking the Sufficiently Scattered Condition Using a Global Non-Convex Optimization Software. IEEE Signal Process. Lett. 31: 1610-1614 (2024) - [c35]Olivier Vu Thanh, Nicolas Gillis:
Minimum-Volume Nonnegative Matrix Completion. EUSIPCO 2024: 2452-2456 - [c34]Atharva Awari, Harrison Nguyen, Samuel Wertz, Arnaud Vandaele, Nicolas Gillis:
Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU Function. EUSIPCO 2024: 2622-2626 - [c33]Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari:
Subtractive Mixture Models via Squaring: Representation and Learning. ICLR 2024 - [c32]Alexandra Dache, Arnaud Vandaele, Nicolas Gillis:
Orthogonal Symmetric Nonnegative Matrix Tri-Factorization. MLSP 2024: 1-6 - [c31]Joakim Lefebvre, Arnaud Vandaele, Nicolas Gillis:
Component-Wise Squared Factorization. MLSP 2024: 1-6 - [i72]Le Thi Khanh Hien, Valentin Leplat, Nicolas Gillis:
Block Majorization Minimization with Extrapolation and Application to β-NMF. CoRR abs/2401.06646 (2024) - [i71]Nicolas Gillis, Robert Luce:
Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software. CoRR abs/2402.06019 (2024) - [i70]Maryam Abdolali, Giovanni Barbarino, Nicolas Gillis:
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization. CoRR abs/2403.20197 (2024) - [i69]Nicolas Gillis, Stefano Sicilia:
Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem. CoRR abs/2406.02203 (2024) - [i68]Jean Pacifique Nkurunziza, Fulgence Nahayo, Nicolas Gillis:
Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergence. CoRR abs/2410.07786 (2024) - [i67]Giovanni Barbarino, Nicolas Gillis:
On the Robustness of the Successive Projection Algorithm. CoRR abs/2411.16195 (2024) - 2023
- [j68]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 24: 18:1-18:41 (2023) - [j67]Valentin Leplat, Yurii E. Nesterov, Nicolas Gillis, François Glineur:
Conic optimization-based algorithms for nonnegative matrix factorization. Optim. Methods Softw. 38(4): 837-859 (2023) - [j66]Pierre De Handschutter, Nicolas Gillis:
A consistent and flexible framework for deep matrix factorizations. Pattern Recognit. 134: 109102 (2023) - [j65]Nicolas Gillis, Róbert Rajkó:
Partial Identifiability for Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44(1): 27-52 (2023) - [j64]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Trans. Signal Process. 71: 1712-1724 (2023) - [j63]Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron:
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications. IEEE Trans. Signal Process. 71: 2434-2447 (2023) - [c30]Pierre De Handschutter, Nicolas Gillis, Wivine Blekic:
Deep Symmetric Matrix Factorization. EUSIPCO 2023: 635-639 - [c29]Olivier Vu Thanh, Nicolas Gillis:
Identifiability of Polytopic Matrix Factorization. EUSIPCO 2023: 1290-1294 - [c28]Alexandra Dache, Arnaud Vandaele, Nicolas Gillis, Nicolas Nadisic:
Exact and Heuristic Methods for Simultaneous Sparse Coding. EUSIPCO 2023: 1753-1757 - [c27]Christos Kolomvakis, Nicolas Gillis:
Robust Binary Component Decompositions. ICASSP 2023: 1-5 - [c26]Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis:
Algorithms for Boolean Matrix Factorization using Integer Programming. MLSP 2023: 1-6 - [c25]Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis:
Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function. MLSP 2023: 1-6 - [i66]Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis:
Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function. CoRR abs/2305.08687 (2023) - [i65]Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis:
Algorithms for Boolean Matrix Factorization using Integer Programming. CoRR abs/2305.10185 (2023) - [i64]Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis:
Deep Nonnegative Matrix Factorization with Beta Divergences. CoRR abs/2309.08249 (2023) - [i63]Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari:
Subtractive Mixture Models via Squaring: Representation and Learning. CoRR abs/2310.00724 (2023) - [i62]Nicolas Gillis, Paul Van Dooren:
Assigning Stationary Distributions to Sparse Stochastic Matrices. CoRR abs/2312.16011 (2023) - 2022
- [j62]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
Inertial alternating direction method of multipliers for non-convex non-smooth optimization. Comput. Optim. Appl. 83(1): 247-285 (2022) - [j61]Maryam Abdolali, Nicolas Gillis:
Revisiting data augmentation for subspace clustering. Knowl. Based Syst. 258: 109974 (2022) - [j60]Nicolas Nadisic, Jeremy E. Cohen, Arnaud Vandaele, Nicolas Gillis:
Matrix-wise ℓ 0-constrained sparse nonnegative least squares. Mach. Learn. 111(12): 4453-4495 (2022) - [j59]Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan:
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4052-4064 (2022) - [j58]Valentin Leplat, Nicolas Gillis, Cédric Févotte:
Multi-resolution beta-divergence NMF for blind spectral unmixing. Signal Process. 193: 108428 (2022) - [j57]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. 4(1): 1-25 (2022) - [j56]Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis:
Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. 2022 (2022) - [c24]Maryam Abdolali, Nicolas Gillis:
Subspace Clustering Using Unsupervised Data Augmentation. ICASSP 2022: 3868-3872 - [c23]Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron:
Bounded Simplex-Structured Matrix Factorization. ICASSP 2022: 9062-9066 - [i61]Nicolas Gillis, Punit Sharma:
Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization. CoRR abs/2202.02618 (2022) - [i60]Nicolas Gillis, Róbert Rajkó:
Partial Identifiability for Nonnegative Matrix Factorization. CoRR abs/2206.08022 (2022) - [i59]Pierre De Handschutter, Nicolas Gillis:
A consistent and flexible framework for deep matrix factorizations. CoRR abs/2206.10693 (2022) - [i58]Maryam Abdolali, Nicolas Gillis:
Revisiting data augmentation for subspace clustering. CoRR abs/2207.09728 (2022) - [i57]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-squares methods for nonnegative matrix factorization over rational functions. CoRR abs/2209.12579 (2022) - [i56]Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron:
Bounded Simplex-Structured Matrix Factorization. CoRR abs/2209.12638 (2022) - [i55]Neelam Choudhary, Nicolas Gillis, Punit Sharma:
Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach. CoRR abs/2210.07326 (2022) - 2021
- [j55]Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi, Imran Naseem:
Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks. Comput. Networks 201: 108564 (2021) - [j54]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. Comput. Optim. Appl. 79(3): 681-715 (2021) - [j53]Pierre De Handschutter, Nicolas Gillis, Xavier Siebert:
A survey on deep matrix factorizations. Comput. Sci. Rev. 42: 100423 (2021) - [j52]Maryam Abdolali, Nicolas Gillis:
Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms. Comput. Sci. Rev. 42: 100435 (2021) - [j51]Julien Dewez, Nicolas Gillis, François Glineur:
A geometric lower bound on the extension complexity of polytopes based on the f-vector. Discret. Appl. Math. 303: 22-38 (2021) - [j50]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. J. Optim. Theory Appl. 190(1): 234-258 (2021) - [j49]Le Thi Khanh Hien, Nicolas Gillis:
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. J. Sci. Comput. 87(3): 93 (2021) - [j48]François Moutier, Arnaud Vandaele, Nicolas Gillis:
Off-diagonal symmetric nonnegative matrix factorization. Numer. Algorithms 88(2): 939-963 (2021) - [j47]Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien:
Accelerating block coordinate descent for nonnegative tensor factorization. Numer. Linear Algebra Appl. 28(5) (2021) - [j46]Mohit Kumar Baghel, Nicolas Gillis, Punit Sharma:
Characterization of the dissipative mappings and their application to perturbations of dissipative-Hamiltonian systems. Numer. Linear Algebra Appl. 28(6) (2021) - [j45]Junjun Pan, Nicolas Gillis:
Generalized Separable Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1546-1561 (2021) - [j44]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. SIAM J. Imaging Sci. 14(4): 1848-1889 (2021) - [j43]Valentin Leplat, Nicolas Gillis, Jérôme Idier:
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. SIAM J. Matrix Anal. Appl. 42(2): 730-752 (2021) - [j42]Maryam Abdolali, Nicolas Gillis:
Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms. SIAM J. Math. Data Sci. 3(2): 593-623 (2021) - [c22]Olivier Vu Thanh, Andersen Man Shun Ang, Nicolas Gillis, Le Thi Khanh Hien:
Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF. EUSIPCO 2021: 1065-1069 - [c21]Pierre De Handschutter, Nicolas Gillis:
Deep orthogonal matrix factorization as a hierarchical clustering technique. EUSIPCO 2021: 1466-1470 - [c20]Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen:
Exact Biobjective k-Sparse Nonnegative Least Squares. EUSIPCO 2021: 2079-2083 - [c19]Andersen Ang, Valentin Leplat, Nicolas Gillis:
Fast algorithm for complex-NMF with application to source separation. EUSIPCO 2021: 2084-2088 - [c18]Andersen Man Shun Ang, Nicolas Gillis, Arnaud Vandaele, Hans De Sterck:
Nonnegative Unimodal Matrix Factorization. ICASSP 2021: 3270-3274 - [i54]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization. CoRR abs/2102.05433 (2021) - [i53]Maryam Abdolali, Nicolas Gillis:
Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms. CoRR abs/2103.10656 (2021) - [i52]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR abs/2107.04395 (2021) - [i51]Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo:
Smoothed Separable Nonnegative Matrix Factorization. CoRR abs/2110.05528 (2021) - [i50]Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi, Imran Naseem:
Structured Nonnegative Matrix Factorization for Traffic Flow Estimation of Large Cloud Networks. CoRR abs/2110.07926 (2021) - 2020
- [j41]Kahina Ghazli, Nicolas Gillis, Mustapha Moulaï:
Optimizing over the properly efficient set of convex multi-objective optimization problems. Ann. Oper. Res. 295(2): 575-604 (2020) - [j40]Neelam Choudhary, Nicolas Gillis, Punit Sharma:
On approximating the nearest Ω-stable matrix. Numer. Linear Algebra Appl. 27(3) (2020) - [j39]Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert:
Near-Convex Archetypal Analysis. IEEE Signal Process. Lett. 27: 81-85 (2020) - [j38]Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis:
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. 37(5): 78-94 (2020) - [j37]Anthony Degleris, Nicolas Gillis:
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 68: 2499-2512 (2020) - [j36]Valentin Leplat, Nicolas Gillis, Andersen Man Shun Ang:
Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF. IEEE Trans. Signal Process. 68: 3400-3410 (2020) - [c17]Timothy Marrinan, Nicolas Gillis:
Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization. EUSIPCO 2020: 1015-1019 - [c16]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. EUSIPCO 2020: 1951-1955 - [c15]Andersen Man Shun Ang, Jeremy E. Cohen, Le Thi Khanh Hien, Nicolas Gillis:
Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. ICASSP 2020: 3147-3151 - [c14]Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen:
Exact Sparse Nonnegative Least Squares. ICASSP 2020: 5395-5399 - [c13]Hien Le, Nicolas Gillis, Panagiotis Patrinos:
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. ICML 2020: 5671-5681 - [c12]Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis:
Sparse Separable Nonnegative Matrix Factorization. ECML/PKDD (1) 2020: 335-350 - [i49]Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien:
Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization. CoRR abs/2001.04321 (2020) - [i48]Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos:
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. CoRR abs/2003.03963 (2020) - [i47]François Moutier, Arnaud Vandaele, Nicolas Gillis:
Off-diagonal Symmetric Nonnegative Matrix Factorization. CoRR abs/2003.04775 (2020) - [i46]Timothy Marrinan, Pierre-Antoine Absil, Nicolas Gillis:
On a minimum enclosing ball of a collection of linear subspaces. CoRR abs/2003.12455 (2020) - [i45]Nicolas Nadisic, Arnaud Vandaele, Jérémy E. Cohen, Nicolas Gillis:
Sparse Separable Nonnegative Matrix Factorization. CoRR abs/2006.07553 (2020) - [i44]Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis:
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR abs/2006.08183 (2020) - [i43]Valentin Leplat, Nicolas Gillis, Cédric Févotte:
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing. CoRR abs/2007.03893 (2020) - [i42]Maryam Abdolali, Nicolas Gillis:
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms. CoRR abs/2007.11446 (2020) - [i41]Pierre De Handschutter, Nicolas Gillis, Xavier Siebert:
Deep matrix factorizations. CoRR abs/2010.00380 (2020) - [i40]Le Thi Khanh Hien, Nicolas Gillis:
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. CoRR abs/2010.01935 (2020) - [i39]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. CoRR abs/2010.12133 (2020) - [i38]Valentin Leplat, Nicolas Gillis, Jérôme Idier:
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. CoRR abs/2010.16223 (2020) - [i37]Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis:
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares. CoRR abs/2011.11066 (2020) - [i36]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably robust blind source separation of linear-quadratic near-separable mixtures. CoRR abs/2011.11966 (2020)
2010 – 2019
- 2019
- [j35]Andersen Man Shun Ang, Nicolas Gillis:
Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation. Neural Comput. 31(2) (2019) - [j34]Syed Muhammad Atif, Sameer Qazi, Nicolas Gillis:
Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction. Pattern Recognit. Lett. 122: 53-59 (2019) - [j33]Maryam Abdolali, Nicolas Gillis, Mohammad Rahmati:
Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs. Signal Process. 163: 166-180 (2019) - [j32]Jeremy E. Cohen, Nicolas Gillis:
Identifiability of Complete Dictionary Learning. SIAM J. Math. Data Sci. 1(3): 518-536 (2019) - [j31]Andersen Man Shun Ang, Nicolas Gillis:
Algorithms and Comparisons of Nonnegative Matrix Factorizations With Volume Regularization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4843-4853 (2019) - [c11]Nicolas Gillis:
Successive Projection Algorithm Robust to Outliers. CAMSAP 2019: 331-335 - [c10]Valentin Leplat, Andersen Man Shun Ang, Nicolas Gillis:
Minimum-volume Rank-deficient Nonnegative Matrix Factorizations. ICASSP 2019: 3402-3406 - [c9]Nicolas Gillis:
Separable Simplex-structured Matrix Factorization: Robustness of Combinatorial Approaches. ICASSP 2019: 5521-5525 - [c8]Jeremy E. Cohen, Nicolas Gillis:
Nonnegative Low-rank Sparse Component Analysis. ICASSP 2019: 8226-8230 - [i35]Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan:
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. CoRR abs/1901.10757 (2019) - [i34]Andersen Man Shun Ang, Nicolas Gillis:
Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing. CoRR abs/1903.04362 (2019) - [i33]Junjun Pan, Nicolas Gillis:
Generalized Separable Nonnegative Matrix Factorization. CoRR abs/1905.12995 (2019) - [i32]Anthony Degleris, Nicolas Gillis:
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. CoRR abs/1906.06899 (2019) - [i31]Valentin Leplat, Nicolas Gillis, Andersen Man Shun Ang:
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF. CoRR abs/1907.02404 (2019) - [i30]Nicolas Gillis, Punit Sharma:
Minimal-norm static feedbacks using dissipative Hamiltonian matrices. CoRR abs/1907.06883 (2019) - [i29]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. CoRR abs/1908.01402 (2019) - [i28]Nicolas Gillis:
Successive Projection Algorithm Robust to Outliers. CoRR abs/1908.04109 (2019) - [i27]Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert:
Near-Convex Archetypal Analysis. CoRR abs/1910.00821 (2019) - [i26]Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru:
Grouped sparse projection. CoRR abs/1912.03896 (2019) - 2018
- [j30]