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2020 – today
- 2023
[j40]Ondrej Mokrý
, Paul Magron, Thomas Oberlin, Cédric Févotte:
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. Signal Process. 206: 108905 (2023)- [j39]Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte:
Joint majorization-Minimization for nonnegative matrix factorization with the β-divergence. Signal Process. 209: 109048 (2023) - [j38]Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte:
Sphere Refinement in Gap Safe Screening. IEEE Signal Process. Lett. 30: 608-612 (2023) - [j37]Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte:
Majorization-Minimization for Sparse Nonnegative Matrix Factorization With the $\beta$-Divergence. IEEE Trans. Signal Process. 71: 1435-1447 (2023) - 2022
- [j36]Paul Magron, Cédric Févotte:
Neural content-aware collaborative filtering for cold-start music recommendation. Data Min. Knowl. Discov. 36(5): 1971-2005 (2022) - [j35]Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels:
Second-Order Step-Size Tuning of SGD for Non-Convex Optimization. Neural Process. Lett. 54(3): 1727-1752 (2022) - [j34]Valentin Leplat, Nicolas Gillis, Cédric Févotte:
Multi-resolution beta-divergence NMF for blind spectral unmixing. Signal Process. 193: 108428 (2022) - [j33]Paul Magron, Cédric Févotte:
A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization. IEEE Signal Process. Lett. 29: 1526-1530 (2022) - [j32]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. IEEE Signal Process. Lett. 29: 1619-1623 (2022) - [j31]Sixin Zhang, Emmanuel Soubies, Cédric Févotte:
Leveraging Joint-Diagonalization in Transform-Learning NMF. IEEE Trans. Signal Process. 70: 3802-3817 (2022) - [i31]Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte:
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening. CoRR abs/2202.07258 (2022) - [i30]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. CoRR abs/2204.01360 (2022) - [i29]Paul Magron, Cédric Févotte:
A majorization-minimization algorithm for nonnegative binary matrix factorization. CoRR abs/2204.09741 (2022) - [i28]Ondrej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte:
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. CoRR abs/2206.13768 (2022) - [i27]Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte:
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the β-divergence. CoRR abs/2207.06316 (2022) - 2021
- [j30]Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels:
An Inertial Newton Algorithm for Deep Learning. J. Mach. Learn. Res. 22: 134:1-134:31 (2021) - [j29]Cássio Fraga Dantas, Emmanuel Soubies, Cédric Févotte:
Expanding Boundaries of Gap Safe Screening. J. Mach. Learn. Res. 22: 236:1-236:57 (2021) - [j28]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery. IEEE J. Sel. Top. Signal Process. 15(1): 51-64 (2021) - [j27]Ting Cai, Vincent Y. F. Tan, Cédric Févotte:
Adversarially-Trained Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 28: 1415-1419 (2021) - [j26]Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé:
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization. IEEE Trans. Signal Process. 69: 1614-1626 (2021) - [j25]Dana Lahat, Yanbin Lang, Vincent Y. F. Tan, Cédric Févotte:
Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization. IEEE Trans. Signal Process. 69: 3059-3074 (2021) - [c56]Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte:
Phase Recovery with Bregman Divergences for Audio Source Separation. ICASSP 2021: 516-520 - [c55]Paul Magron, Cédric Févotte:
Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation. ICASSP 2021: 581-585 - [c54]Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte:
Safe Screening for Sparse Regression with the Kullback-Leibler Divergence. ICASSP 2021: 5544-5548 - [c53]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS 2021: 23270-23282 - [i26]Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte:
Expanding boundaries of Gap Safe screening. CoRR abs/2102.10846 (2021) - [i25]Paul Magron, Cédric Févotte:
Neural content-aware collaborative filtering for cold-start music recommendation. CoRR abs/2102.12369 (2021) - [i24]Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels:
Second-order step-size tuning of SGD for non-convex optimization. CoRR abs/2103.03570 (2021) - [i23]Ting Cai, Vincent Y. F. Tan, Cédric Févotte:
Adversarially-Trained Nonnegative Matrix Factorization. CoRR abs/2104.04757 (2021) - [i22]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR abs/2106.04145 (2021) - [i21]Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte:
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the β-divergence. CoRR abs/2106.15214 (2021) - [i20]Sixin Zhang, Emmanuel Soubies, Cédric Févotte:
On the Relationships between Transform-Learning NMF and Joint-Diagonalization. CoRR abs/2112.05664 (2021) - 2020
- [j24]Alberto Lumbreras, Louis Filstroff, Cédric Févotte:
Bayesian mean-parameterized nonnegative binary matrix factorization. Data Min. Knowl. Discov. 34(6): 1898-1935 (2020) - [j23]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Negative Binomial Matrix Factorization. IEEE Signal Process. Lett. 27: 815-819 (2020) - [j22]Sixin Zhang, Emmanuel Soubies, Cédric Févotte:
On the Identifiability of Transform Learning for Non-Negative Matrix Factorization. IEEE Signal Process. Lett. 27: 1555-1559 (2020) - [c52]Dana Lahat, Cédric Févotte:
Positive Semidefinite Matrix Factorization Based on Truncated Wirtinger Flow. EUSIPCO 2020: 1035-1039 - [c51]Dana Lahat, Cédric Févotte:
Positive Semidefinite Matrix Factorization: A Link to Phase Retrieval And A Block Gradient Algorithm. ICASSP 2020: 5705-5709 - [c50]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Ordinal Non-negative Matrix Factorization for Recommendation. ICML 2020: 3680-3689 - [i19]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Ordinal Non-negative Matrix Factorization for Recommendation. CoRR abs/2006.01034 (2020) - [i18]Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé:
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains. CoRR abs/2006.12843 (2020) - [i17]Valentin Leplat, Nicolas Gillis, Cédric Févotte:
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing. CoRR abs/2007.03893 (2020) - [i16]Dana Lahat, Yanbin Lang, Vincent Y. F. Tan, Cédric Févotte:
Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization. CoRR abs/2007.12364 (2020) - [i15]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences and application to audio signal recovery. CoRR abs/2010.00392 (2020) - [i14]Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte:
Phase recovery with Bregman divergences for audio source separation. CoRR abs/2010.10255 (2020) - [i13]Paul Magron, Cédric Févotte:
Leveraging the structure of musical preference in content-aware music recommendation. CoRR abs/2010.10276 (2020) - [i12]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences: Application to audio signal recovery. CoRR abs/2011.12818 (2020)
2010 – 2019
- 2019
- [j21]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber:
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise. IEEE Trans. Medical Imaging 38(9): 2231-2241 (2019) - [c49]Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte:
A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning. ICASSP 2019: 700-704 - [c48]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Clovis Tauber:
Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise. ICASSP 2019: 1373-1377 - [c47]Dylan Fagot, Herwig Wendt, Cédric Févotte, Paris Smaragdis:
Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence. ICASSP 2019: 8202-8206 - [c46]Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte:
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments. ECML/PKDD (3) 2019: 187-203 - [c45]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. UAI 2019: 91-101 - [i11]Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte:
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments. CoRR abs/1903.06500 (2019) - [i10]Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels:
An Inertial Newton Algorithm for Deep Learning. CoRR abs/1905.12278 (2019) - [i9]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. CoRR abs/1905.13128 (2019) - 2018
- [j20]Cédric Févotte, Matthieu Kowalski:
Estimation With Low-Rank Time-Frequency Synthesis Models. IEEE Trans. Signal Process. 66(15): 4121-4132 (2018) - [c44]Herwig Wendt, Dylan Fagot, Cédric Févotte:
Jacobi Algorithm for Nonnegative Matrix Factorization with Transform Learning. EUSIPCO 2018: 1062-1066 - [c43]Dylan Fagot, Herwig Wendt, Cédric Févotte:
Nonnegative Matrix Factorization with Transform Learning. ICASSP 2018: 2431-2435 - [c42]Louis Filstroff, Alberto Lumbreras, Cédric Févotte:
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization. ICML 2018: 1505-1513 - [c41]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Matrix Co-Factorization for Cold-Start Recommendation. ISMIR 2018: 792-798 - [i8]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Negative Binomial Matrix Factorization for Recommender Systems. CoRR abs/1801.01708 (2018) - [i7]Louis Filstroff, Alberto Lumbreras, Cédric Févotte:
Closed-form marginal likelihood in Gamma-Poisson factorization. CoRR abs/1801.01799 (2018) - [i6]Cédric Févotte, Matthieu Kowalski:
Estimation with Low-Rank Time-Frequency Synthesis Models. CoRR abs/1804.09497 (2018) - [i5]Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte:
A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning. CoRR abs/1811.02225 (2018) - [i4]Alberto Lumbreras, Louis Filstroff, Cédric Févotte:
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization. CoRR abs/1812.06866 (2018) - 2017
- [i3]Dylan Fagot, Cédric Févotte, Herwig Wendt:
Nonnegative Matrix Factorization with Transform Learning. CoRR abs/1705.04193 (2017) - 2016
- [c40]Ronan Hamon, Valentin Emiya, Cédric Févotte:
Convex nonnegative matrix factorization with missing data. MLSP 2016: 1-6 - [c39]Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya:
Optimal spectral transportation with application to music transcription. NIPS 2016: 703-711 - [i2]Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya:
Optimal spectral transportation with application to music transcription. CoRR abs/1609.09799 (2016) - 2015
- [j19]Cédric Févotte, Nicolas Dobigeon:
Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization. IEEE Trans. Image Process. 24(12): 4810-4819 (2015) - [c38]Cédric Févotte, Matthieu Kowalski:
Hybrid sparse and low-rank time-frequency signal decomposition. EUSIPCO 2015: 464-468 - 2014
- [j18]Paris Smaragdis, Cédric Févotte, Gautham J. Mysore, Nasser Mohammadiha, Matthew D. Hoffman:
Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view. IEEE Signal Process. Mag. 31(3): 66-75 (2014) - [j17]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Soft Nonnegative Matrix Co-Factorization. IEEE Trans. Signal Process. 62(22): 5940-5949 (2014) - [c37]Dennis L. Sun, Cédric Févotte:
Alternating direction method of multipliers for non-negative matrix factorization with the beta-divergence. ICASSP 2014: 6201-6205 - [c36]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Piecewise constant nonnegative matrix factorization. ICASSP 2014: 6721-6725 - [c35]Cédric Févotte, Matthieu Kowalski:
Low-Rank Time-Frequency Synthesis. NIPS 2014: 3563-3571 - 2013
- [j16]Vincent Y. F. Tan, Cédric Févotte:
Automatic Relevance Determination in Nonnegative Matrix Factorization with the $(\beta)$-Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1592-1605 (2013) - [j15]Slim Essid, Cédric Févotte:
Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring. IEEE Trans. Multim. 15(2): 415-425 (2013) - [c34]Cédric Févotte, Jonathan Le Roux, John R. Hershey:
Non-negative dynamical system with application to speech and audio. ICASSP 2013: 3158-3162 - [c33]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization. ICASSP 2013: 3537-3541 - [c32]Nicolas Dobigeon, Cédric Févotte:
Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images. WHISPERS 2013: 1-4 - 2012
- [j14]Onur Dikmen, Cédric Févotte:
Maximum Marginal Likelihood Estimation for Nonnegative Dictionary Learning in the Gamma-Poisson Model. IEEE Trans. Signal Process. 60(10): 5163-5175 (2012) - [c31]Slim Essid, Cédric Févotte:
Decomposing the video editing structure of a talk-show using nonnegative matrix factorization. ICIP 2012: 3105-3108 - [c30]Timothée Gerber, Martin Dutasta, Laurent Girin, Cédric Févotte:
Professionally-produced Music Separation Guided by Covers. ISMIR 2012: 85-90 - [c29]Augustin Lefèvre, Francis R. Bach, Cédric Févotte:
Semi-supervised NMF with Time-frequency Annotations for Single-channel Source Separation. ISMIR 2012: 115-120 - [c28]Brian King, Cédric Févotte, Paris Smaragdis:
Optimal cost function and magnitude power for NMF-based speech separation and music interpolation. MLSP 2012: 1-6 - 2011
- [j13]Cédric Févotte, Jérôme Idier:
Algorithms for Nonnegative Matrix Factorization with the β-Divergence. Neural Comput. 23(9): 2421-2456 (2011) - [j12]Laurent Oudre, Yves Grenier, Cédric Févotte:
Chord Recognition by Fitting Rescaled Chroma Vectors to Chord Templates. IEEE Trans. Speech Audio Process. 19(7): 2222-2233 (2011) - [j11]Laurent Oudre, Cédric Févotte, Yves Grenier:
Probabilistic Template-Based Chord Recognition. IEEE Trans. Speech Audio Process. 19(8): 2249-2259 (2011) - [c27]Augustin Lefèvre, Francis R. Bach, Cédric Févotte:
Itakura-Saito nonnegative matrix factorization with group sparsity. ICASSP 2011: 21-24 - [c26]Alexey Ozerov, Cédric Févotte, Raphaël Blouet, Jean-Louis Durrieu:
Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation. ICASSP 2011: 257-260 - [c25]Cédric Févotte:
Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization. ICASSP 2011: 1980-1983 - [c24]Onur Dikmen, Cédric Févotte:
Maximum marginal likelihood estimation for nonnegative dictionary learning. ICASSP 2011: 1992-1995 - [c23]Onur Dikmen, Cédric Févotte:
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation. NIPS 2011: 2267-2275 - [c22]Augustin Lefèvre, Francis R. Bach, Cédric Févotte:
Online algorithms for nonnegative matrix factorization with the Itakura-Saito divergence. WASPAA 2011: 313-316 - 2010
- [j10]Alexey Ozerov, Cédric Févotte:
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation. IEEE Trans. Speech Audio Process. 18(3): 550-563 (2010) - [j9]Jean-Louis Durrieu, Gaël Richard, Bertrand David, Cédric Févotte:
Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals. IEEE Trans. Speech Audio Process. 18(3): 564-575 (2010) - [c21]Cédric Févotte, Alexey Ozerov:
Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues. CMMR 2010: 102-115 - [c20]Henri Lantéri, Céline Theys, Cédric Richard, Cédric Févotte:
Split gradient method for nonnegative matrix factorization. EUSIPCO 2010: 1199-1203 - [c19]Laurent Oudre, Cédric Févotte, Yves Grenier:
Probabilistic framework for template-based chord recognition. MMSP 2010: 183-187 - [i1]Cédric Févotte, Jérôme Idier:
Algorithms for nonnegative matrix factorization with the beta-divergence. CoRR abs/1010.1763 (2010)
2000 – 2009
- 2009
- [j8]Cédric Févotte, Nancy Bertin, Jean-Louis Durrieu:
Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis. Neural Comput. 21(3): 793-830 (2009) - [c18]Jean-Louis Durrieu, Alexey Ozerov, Cédric Févotte, Gaël Richard, Bertrand David:
Main instrument separation from stereophonic audio signals using a source/filter model. EUSIPCO 2009: 15-19 - [c17]Cédric Févotte, Ali Taylan Cemgil:
Nonnegative matrix factorizations as probabilistic inference in composite models. EUSIPCO 2009: 1913-1917 - [c16]Nancy Bertin, Cédric Févotte, Roland Badeau:
A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcription. ICASSP 2009: 1545-1548 - [c15]Alexey Ozerov, Cédric Févotte:
Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation. ICASSP 2009: 3137-3140 - [c14]Laurent Oudre, Yves Grenier, Cédric Févotte:
Template-based Chord Recognition : Influence of the Chord Types. ISMIR 2009: 153-158 - [c13]Laurent Oudre, Yves Grenier, Cédric Févotte:
Chord recognition using measures of fit, chord templates and filtering methods. WASPAA 2009: 9-12 - [c12]Alexey Ozerov, Cédric Févotte, Maurice Charbit:
Factorial Scaled Hidden Markov Model for polyphonic audio representation and source separation. WASPAA 2009: 121-124 - 2008
- [j7]Cédric Févotte, Bruno Torrésani, Laurent Daudet, Simon J. Godsill:
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio. IEEE Trans. Speech Audio Process. 16(1): 174-185 (2008) - [c11]Raphaël Blouet, Guy Rapaport, Cédric Févotte:
Evaluation of several strategies for single sensor speech/music separation. ICASSP 2008: 37-40 - 2007
- [j6]Ali Taylan Cemgil, Cédric Févotte, Simon J. Godsill:
Variational and stochastic inference for Bayesian source separation. Digit. Signal Process. 17(5): 891-913 (2007) - [c10]Simon J. Godsill, Ali Taylan Cemgil, Cédric Févotte, Patrick J. Wolfe:
Bayesian computational methods for sparse audio and music processing. EUSIPCO 2007: 345-349 - [c9]Cédric Févotte, Fabian J. Theis:
Pivot Selection Strategies in Jacobi Joint Block-Diagonalization. ICA 2007: 177-184 - [p1]Cédric Févotte:
Bayesian Audio Source Separation. Blind Speech Separation 2007: 305-335 - 2006
- [j5]Cédric Févotte, Simon J. Godsill:
Sparse linear regression in unions of bases via Bayesian variable selection. IEEE Signal Process. Lett. 13(7): 441-444 (2006) - [j4]Emmanuel Vincent, Rémi Gribonval, Cédric Févotte:
Performance measurement in blind audio source separation. IEEE Trans. Speech Audio Process. 14(4): 1462-1469 (2006) - [j3]Cédric Févotte, Simon J. Godsill:
A Bayesian Approach for Blind Separation of Sparse Sources. IEEE Trans. Speech Audio Process. 14(6): 2174-2188 (2006) - [c8]Cédric Févotte:
Bayesian blind separation of audio mixtures with structured priors. EUSIPCO 2006: 1-5 - [c7]Cédric Févotte, Simon J. Godsill:
Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm. ICA 2006: 593-600 - [c6]Cédric Févotte, Laurent Daudet, Simon J. Godsill, Bruno Torrésani:
Sparse Regression with Structured Priors: Application to Audio Denoising. ICASSP (3) 2006: 57-60 - [c5]Frédéric Desobry, Cédric Févotte:
Kernel PCA Based Estimation of the Mixing Matrix in Linear Instantaneous Mixtures of Sparse Sources. ICASSP (5) 2006: 669-672 - 2005
- [c4]Ali Taylan Cemgil, Cédric Févotte, Simon J. Godsill:
Blind separation of sparse sources using variational EM. EUSIPCO 2005: 1-4 - [d1]Emmanuel Vincent, Rémi Gribonval, Cédric Févotte, Andrew Nesbit, Mark D. Plumbley, Mike E. Davies, Laurent Daudet:
BASS-dB Multitrack recordings. Zenodo, 2005
- 2004
- [j2]Cédric Févotte, Christian Doncarli:
Two contributions to blind source separation using time-frequency distributions. IEEE Signal Process. Lett. 11(3): 386-389 (2004) - [j1]Dario Farina, Cédric Févotte, Christian Doncarli, Roberto Merletti:
Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals. IEEE Trans. Biomed. Eng. 51(9): 1555-1567 (2004) - [c3]Cédric Févotte, Simon J. Godsill, Patrick J. Wolfe:
Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources. ICA 2004: 398-405 - 2003
- [c2]Cédric Févotte, Alexandra Debiolles, Christian Doncarli:
Blind source separation of FIR convolutive mixtures: application to speech signals. NOLISP 2003: 23 - 2002
- [c1]Ales Holobar, Cédric Févotte, Christian Doncarli, Damjan Zazula:
Single autoterms selection for blind source separation in time-frequency plane. EUSIPCO 2002: 1-4
Coauthor Index
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