Nicolas Gillis

Comput. Appl. Math., September, 2024

Checking the Sufficiently Scattered Condition Using a Global Non-Convex Optimization Software.

[BibT_eX]

[DOI]

Robert Luce

IEEE Signal Process. Lett., 2024

Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem.

[BibT_eX]

[DOI]

Stefano Sicilia

CoRR, 2024

Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization.

[BibT_eX]

[DOI]

Giovanni Barbarino

CoRR, 2024

Block Majorization Minimization with Extrapolation and Application to β-NMF.

[BibT_eX]

[DOI]

CoRR, 2024

Subtractive Mixture Models via Squaring: Representation and Learning.

[BibT_eX]

[DOI]

Lorenzo Loconte

Aleksanteri M. Sladek

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Minimum-Volume Nonnegative Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU Function.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Conic optimization-based algorithms for nonnegative matrix factorization.

[BibT_eX]

[DOI]

Optim. Methods Softw., July, 2023

Partial Identifiability for Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Róbert Rajkó

SIAM J. Matrix Anal. Appl., March, 2023

Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications.

[BibT_eX]

[DOI]

Fabian Lecron

IEEE Trans. Signal Process., 2023

Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

A consistent and flexible framework for deep matrix factorizations.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization.

[BibT_eX]

[DOI]

Duy Nhat Phan

J. Mach. Learn. Res., 2023

Assigning Stationary Distributions to Sparse Stochastic Matrices.

[BibT_eX]

[DOI]

Paul Van Dooren

CoRR, 2023

Deep Nonnegative Matrix Factorization with Beta Divergences.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Algorithms for Boolean Matrix Factorization using Integer Programming.

[BibT_eX]

[DOI]

Christos Kolomvakis

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Robust Binary Component Decompositions.

[BibT_eX]

[DOI]

Christos Kolomvakis

Proceedings of the IEEE International Conference on Acoustics, 2023

Identifiability of Polytopic Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

Deep Symmetric Matrix Factorization.

[BibT_eX]

[DOI]

Wivine Blekic

Proceedings of the 31st European Signal Processing Conference, 2023

Exact and Heuristic Methods for Simultaneous Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Explicit Group Sparse Projection with Applications to Deep Learning and NMF.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Block Bregman Majorization Minimization with Extrapolation.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2022

Multi-resolution beta-divergence NMF for blind spectral unmixing.

[BibT_eX]

[DOI]

Cédric Févotte

Signal Process., 2022

Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Matrix-wise ℓ <sub>0</sub>-constrained sparse nonnegative least squares.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Revisiting data augmentation for subspace clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach.

[BibT_eX]

[DOI]

Neelam Choudhary

CoRR, 2022

Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Inertial alternating direction method of multipliers for non-convex non-smooth optimization.

[BibT_eX]

[DOI]

Duy Nhat Phan

Comput. Optim. Appl., 2022

Bounded Simplex-Structured Matrix Factorization.

[BibT_eX]

[DOI]

Fabian Lecron

Proceedings of the IEEE International Conference on Acoustics, 2022

Subspace Clustering Using Unsupervised Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2021

Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints.

[BibT_eX]

[DOI]

Jérôme Idier

SIAM J. Matrix Anal. Appl., 2021

Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures.

[BibT_eX]

[DOI]

Christophe Kervazo

Nicolas Dobigeon

SIAM J. Imaging Sci., 2021

Generalized Separable Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Junjun Pan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Characterization of the dissipative mappings and their application to perturbations of dissipative-Hamiltonian systems.

[BibT_eX]

[DOI]

Mohit Kumar Baghel

Numer. Linear Algebra Appl., 2021

Accelerating block coordinate descent for nonnegative tensor factorization.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2021

Off-diagonal symmetric nonnegative matrix factorization.

[BibT_eX]

[DOI]

François Moutier

Numer. Algorithms, 2021

Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

J. Sci. Comput., 2021

A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2021

A geometric lower bound on the extension complexity of polytopes based on the f-vector.

[BibT_eX]

[DOI]

Julien Dewez

Discret. Appl. Math., 2021

A survey on deep matrix factorizations.

[BibT_eX]

[DOI]

Xavier Siebert

Comput. Sci. Rev., 2021

Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms.

[BibT_eX]

[DOI]

Comput. Sci. Rev., 2021

Smoothed Separable Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Nicolas Nadisic

Christophe Kervazo

CoRR, 2021

Block Alternating Bregman Majorization Minimization with Extrapolation.

[BibT_eX]

[DOI]

CoRR, 2021

A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization.

[BibT_eX]

[DOI]

Duy Nhat Phan

CoRR, 2021

Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2021

Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks.

[BibT_eX]

[DOI]

Comput. Networks, 2021

Nonnegative Unimodal Matrix Factorization.

[BibT_eX]

[DOI]

Hans De Sterck

Proceedings of the IEEE International Conference on Acoustics, 2021

Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Exact Biobjective k-Sparse Nonnegative Least Squares.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Deep orthogonal matrix factorization as a hierarchical clustering technique.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Fast algorithm for complex-NMF with application to source separation.

[BibT_eX]

[DOI]

Andersen Ang

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Anthony Degleris

IEEE Trans. Signal Process., 2020

Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Near-Convex Archetypal Analysis.

[BibT_eX]

[DOI]

Xavier Siebert

IEEE Signal Process. Lett., 2020

On approximating the nearest Ω-stable matrix.

[BibT_eX]

[DOI]

Neelam Choudhary

Numer. Linear Algebra Appl., 2020

A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares.

[BibT_eX]

[DOI]

Nicolas Nadisic

CoRR, 2020

Deep matrix factorizations.

[BibT_eX]

[DOI]

Xavier Siebert

CoRR, 2020

Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.

[BibT_eX]

[DOI]

CoRR, 2020

On a minimum enclosing ball of a collection of linear subspaces.

[BibT_eX]

[DOI]

Timothy Marrinan

Pierre-Antoine Absil

CoRR, 2020

A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems.

[BibT_eX]

[DOI]

Masoud Ahookhosh

Panagiotis Patrinos

CoRR, 2020

Optimizing over the properly efficient set of convex multi-objective optimization problems.

[BibT_eX]

[DOI]

Kahina Ghazli

Mustapha Moulaï

Ann. Oper. Res., 2020

Sparse Separable Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization.

[BibT_eX]

[DOI]

Hien Le

Panagiotis Patrinos

Proceedings of the 37th International Conference on Machine Learning, 2020

Exact Sparse Nonnegative Least Squares.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Timothy Marrinan

Proceedings of the 28th European Signal Processing Conference, 2020

Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures.

[BibT_eX]

[DOI]

Christophe Kervazo

Nicolas Dobigeon

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Algorithms and Comparisons of Nonnegative Matrix Factorizations With Volume Regularization for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Identifiability of Complete Dictionary Learning.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2019

Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs.

[BibT_eX]

[DOI]

Mohammad Rahmati

Signal Process., 2019

Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction.

[BibT_eX]

[DOI]

Syed Muhammad Atif

Sameer Qazi

Pattern Recognit. Lett., 2019

Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation.

[BibT_eX]

[DOI]

Neural Comput., 2019

Grouped sparse projection.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization.

[BibT_eX]

[DOI]

CoRR, 2019

Minimal-norm static feedbacks using dissipative Hamiltonian matrices.

[BibT_eX]

[DOI]

CoRR, 2019

Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

CoRR, 2019

Minimum-volume Rank-deficient Nonnegative Matrix Factorizations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Separable Simplex-structured Matrix Factorization: Robustness of Combinatorial Approaches.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Nonnegative Low-rank Sparse Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Successive Projection Algorithm Robust to Outliers.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Dictionary-Based Tensor Canonical Polyadic Decomposition.

[BibT_eX]

[DOI]

Jeremy Emile Cohen

IEEE Trans. Signal Process., 2018

A Fast Gradient Method for Nonnegative Sparse Regression With Self-Dictionary.

[BibT_eX]

[DOI]

Robert Luce

IEEE Trans. Image Process., 2018

Finding the Nearest Positive-Real System.

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2018

Computing the nearest stable matrix pairs.

[BibT_eX]

[DOI]

Volker Mehrmann

Numer. Linear Algebra Appl., 2018

On the Complexity of Robust PCA and ℓ1-Norm Low-Rank Matrix Approximation.

[BibT_eX]

[DOI]

Math. Oper. Res., 2018

Spectral Unmixing With Multiple Dictionaries.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2018

Multiplicative updates for polynomial root finding.

[BibT_eX]

[DOI]

Inf. Process. Lett., 2018

UTA-poly and UTA-splines: Additive value functions with polynomial marginals.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2018

Identifiability of Low-Rank Sparse Component Analysis.

[BibT_eX]

[DOI]

Jérémy E. Cohen

CoRR, 2018

Algorithms for positive semidefinite factorization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2018

Volume regularized non-negative matrix factorizations.

[BibT_eX]

[DOI]

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2017

Sequential dimensionality reduction for extracting localized features.

[BibT_eX]

[DOI]

Gabriella Casalino

Pattern Recognit., 2017

Solving the Maximum Clique Problem with Symmetric Rank-One Non-negative Matrix Approximation.

[BibT_eX]

[DOI]

Melisew Tefera Belachew

J. Optim. Theory Appl., 2017

Low-Rank Matrix Approximation in the Infinity Norm.

[BibT_eX]

[DOI]

Yaroslav Shitov

CoRR, 2017

Introduction to Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2017

On computing the distance to stability for matrices using linear dissipative Hamiltonian systems.

[BibT_eX]

[DOI]

Autom., 2017

Some Theory on Non-negative Tucker Decomposition.

[BibT_eX]

[DOI]

Pierre Comon

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A new approach to dictionary-based nonnegative matrix factorization.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Heuristics for exact nonnegative matrix factorization.

[BibT_eX]

[DOI]

J. Glob. Optim., 2016

2015

Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Da Kuang

Haesun Park

IEEE Trans. Geosci. Remote. Sens., 2015

Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Abhishek Kumar

SIAM J. Matrix Anal. Appl., 2015

Semidefinite Programming Based Preconditioning for More Robust Near-Separable Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2015

Enhancing Pure-Pixel Identification Performance via Preconditioning.

[BibT_eX]

[DOI]

Wing-Kin Ma

SIAM J. Imaging Sci., 2015

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2015

On the Linear Extension Complexity of Regular n-gons.

[BibT_eX]

[DOI]

CoRR, 2015

On the Complexity of Robust PCA and ℓ<sub>1</sub>-norm Low-Rank Matrix Approximation.

[BibT_eX]

[DOI]

CoRR, 2015

2014

A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing.

[BibT_eX]

[DOI]

Arul-Murugan Ambikapathi

Chong-Yung Chi

IEEE Signal Process. Mag., 2014

Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Robust near-separable nonnegative matrix factorization using linear optimization.

[BibT_eX]

[DOI]

Robert Luce

J. Mach. Learn. Res., 2014

A continuous characterization of the maximum-edge biclique problem.

[BibT_eX]

[DOI]

Christophe De Vleeschouwer

J. Glob. Optim., 2014

Two algorithms for orthogonal nonnegative matrix factorization with application to clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

[BibT_eX]

[DOI]

Laurent Jacques

Jean-François Determe

Fred Maurice Ngolè Mboula

CoRR, 2014

The Why and How of Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2014

2013

Robustness Analysis of Hottopixx, a Linear Programming Model for Factoring Nonnegative Matrices.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2013

ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Neural Comput., 2012

Sparse and unique nonnegative matrix factorization through data preprocessing.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

A multilevel approach for nonnegative matrix factorization.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2012

Robustness Analysis of HottTopixx, a Linear Programming Model for Factoring Nonnegative Matrices

[BibT_eX]

[DOI]

CoRR, 2012

Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization

[BibT_eX]

[DOI]

CoRR, 2012

2011

Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2011

Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis.

[BibT_eX]

[DOI]

Robert J. Plemmons

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2010

Using underapproximations for sparse nonnegative matrix factorization.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

2009

Document Classification using Nonnegative Matrix Factorization and Underapproximation.

[BibT_eX]

[DOI]

Michael W. Berry