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84 résultats
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A quasi-Newton algorithm on the orthogonal manifold for NMF with transform learningIEEE-ICASSP 2019 - International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom
Communication dans un congrès
hal-02346829v2
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Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'vColloque GRETSI 2015, Sep 2015, Lyon, France
Communication dans un congrès
hal-01199256v1
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Professionally-produced music separation guided by coversISMIR 2012 - International Society for Music Information Retrieval Conference, Oct 2012, Porto, Portugal. pp.n/c
Communication dans un congrès
hal-00807027v1
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A tentative typology of audio source separation tasks4th Int. Symp. on Independent Component Analysis and Blind Signal Separation (ICA), Apr 2003, Nara, Japan. pp.715--720
Communication dans un congrès
inria-00544239v1
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Denoising of musical audio using sparse linear regression and structured priorsIEEE Transactions on Audio, Speech and Language Processing, 2008, 16 (1), pp.174-185. ⟨10.1109/TASL.2007.909290⟩
Article dans une revue
hal-00814357v1
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Factorial scaled hidden Markov model for polyphonic audio representation and source separationIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA'09), Oct 2009, Mohonk, NY, United States
Communication dans un congrès
inria-00553336v1
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Multi-resolution beta-divergence NMF for blind spectral unmixingSignal Processing, 2022, 193, pp.108428. ⟨10.1016/j.sigpro.2021.108428⟩
Article dans une revue
hal-03799222v1
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Negative Binomial Matrix FactorizationIEEE Signal Processing Letters, 2020, 27, ⟨10.1109/LSP.2020.2991613⟩
Article dans une revue
hal-02871905v1
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Soft Nonnegative Matrix Co-FactorizationIEEE Transactions on Signal Processing, 2014, 62 (22), pp.5940-5949. ⟨10.1109/TSP.2014.2360141⟩
Article dans une revue
hal-01116863v1
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Co-factorisation douce en matrices non-négatives. Application au regroupement multimodal de locuteursGRETSI, Sep 2013, Brest, France
Communication dans un congrès
hal-02286798v1
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Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral imagesIEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2013, Jun 2013, Gainesville, United States. pp. 1-4
Communication dans un congrès
hal-01151017v1
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Expanding boundaries of Gap Safe screeningJournal of Machine Learning Research, 2021, 22 (236), pp.1-57
Article dans une revue
hal-03147502v3
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An Inertial Newton Algorithm for Deep LearningJournal of Machine Learning Research, 2021, 22 (134)
Article dans une revue
hal-02140748v6
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On the Identifiability of Transform Learning for Non-negative Matrix FactorizationIEEE Signal Processing Letters, 2020, 27, pp.1555 - 1559. ⟨10.1109/LSP.2020.3020431⟩
Article dans une revue
hal-02542653v5
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Approche temps-fréquence pour la séparation aveugle de sources non-stationnairesdomain_stic.inge. Ecole Centrale de Nantes (ECN); Université de Nantes, 2003. Français. ⟨NNT : ⟩
Thèse
tel-00008340v1
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A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcriptionProc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009, Taipei, Taiwan. pp.1545--1548
Communication dans un congrès
hal-00945283v1
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Sparse Regression with Structured Priors: Application to Audio Denoising31st International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2006, Toulouse, France. ⟨10.1109/ICASSP.2006.1660589⟩
Communication dans un congrès
hal-01305531v1
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Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix FactorizationIEEE Transactions on Image Processing, 2015, vol. 24 (n° 12), pp. 4810-4819. ⟨10.1109/TIP.2015.2468177⟩
Article dans une revue
hal-01212736v1
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Unbalanced Optimal Transport through Non-negative Penalized Linear RegressionAdvances in Neural Information Processing Systems (NeurIPS), Dec 2021, Online, France
Communication dans un congrès
hal-03371489v1
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Phase retrieval with Bregman divergences: Application to audio signal recoveryInternational Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST 2020), Sébastien Bourguignon (Centrale Nantes, LS2N, Nantes, France); Cédric Herzet (INRIA Rennes, France); Jérôme Idier (CNRS, LS2N, Nantes, France); Charles Soussen (CentraleSupélec, L2S, Gif-Sur-Yvette, France), Dec 2020, Nantes (virtual), France
Communication dans un congrès
hal-03136486v1
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Notes on nonnegative tensor factorization of the spectrogram for audio source separation : statistical insights and towards self-clustering of the spatial cues7th International Symposium on Computer Music Modeling and Retrieval (CMMR 2010), Oct 2010, Málaga, Spain. pp.www.cmmr2010.etsit.uma.es
Communication dans un congrès
inria-00553355v1
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Online algorithms for Nonnegative Matrix Factorization with the Itakura-Saito divergence2011
Pré-publication, Document de travail
hal-00602050v1
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Leveraging Joint-Diagonalization in Transform-Learning NMFIEEE Transactions on Signal Processing, 2022, ⟨10.1109/TSP.2022.3188177⟩
Article dans une revue
hal-03481041v1
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Ordinal Non-negative Matrix Factorization for RecommendationInternational Conference on Machine Learning (ICML), 2020, Vienna (virtual), Austria
Communication dans un congrès
hal-03049397v1
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Sphere Refinement in Gap Safe ScreeningIEEE Signal Processing Letters, 2023, ⟨10.1109/LSP.2023.3277792⟩
Article dans une revue
hal-03891840v2
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Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarizationICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013, Vancouver, France. pp.3537-3541, ⟨10.1109/ICASSP.2013.6638316⟩
Communication dans un congrès
hal-02943543v1
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Nonnegative matrix factorization for unsupervised audiovisual document structuring2011
Rapport
hal-00605886v1
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BSS_EVAL Toolbox User Guide -- Revision 2.0[Technical Report] 2005, pp.19
Rapport
inria-00564760v1
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Adversarially-Trained Nonnegative Matrix FactorizationIEEE Signal Processing Letters, 2021, 28, pp.1415-1419. ⟨10.1109/LSP.2021.3092231⟩
Article dans une revue
hal-03431514v1
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A Comparative Study of Gamma Markov Chains for Temporal Non-Negative FactorizationIEEE Transactions on Signal Processing, 2021, ⟨10.1109/TSP.2021.3060000⟩
Article dans une revue
hal-02883800v3
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