Bibliography

Major publications by the team in recent years

• 1F. Bimbot, C. Cerisara, C. Fougeron, G. Gravier, L. Lamel, F. Pellegrino, P. Perrier.
  
  Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech), 25-29 August 2013, Lyon (France), International Speech Communication Association (ISCA), August 2013, over 3500 p.
  
  http://hal.archives-ouvertes.fr/hal-00931864
• 2F. Bimbot, E. Deruty, G. Sargent, E. Vincent.
  
  System & Contrast : A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, in: Music Perception, 2016, 41 p, To appear - http://mp.ucpress.edu/ .
  
  https://hal.inria.fr/hal-01188244
• 3N. Duong, E. Vincent, R. Gribonval.
  
  Under-determined reverberant audio source separation using a full-rank spatial covariance model, in: IEEE Transactions on Audio, Speech and Language Processing, July 2010, vol. 18, n^o 7, pp. 1830–1840. [ DOI : 10.1109/TASL.2010.2050716 ]
  
  https://hal.inria.fr/inria-00541865
• 4R. Gribonval.
  
  Should penalized least squares regression be interpreted as Maximum A Posteriori estimation?, in: IEEE Transactions on Signal Processing, May 2011, vol. 59, n^o 5, pp. 2405-2410. [ DOI : 10.1109/TSP.2011.2107908 ]
  
  http://hal.inria.fr/inria-00486840
• 5R. Gribonval, K. Schnass.
  
  Dictionary Identification - Sparse Matrix-Factorisation via $\ell \_1$-Minimisation, in: IEEE Transactions on Information Theory, July 2010, vol. 56, n^o 7, pp. 3523–3539. [ DOI : 10.1109/TIT.2010.2048466 ]
  
  https://hal.archives-ouvertes.fr/hal-00541297
• 6D. K. Hammond, P. Vandergheynst, R. Gribonval.
  
  Wavelets on graphs via spectral graph theory, in: Applied and Computational Harmonic Analysis, March 2011, vol. 30, n^o 2, pp. 129–150. [ DOI : 10.1016/j.acha.2010.04.005 ]
  
  https://hal.inria.fr/inria-00541855
• 7S. Kitić, L. Albera, N. Bertin, R. Gribonval.
  
  Physics-driven inverse problems made tractable with cosparse regularization, in: IEEE Transactions on Signal Processing, January 2016, vol. 64, n^o 2, pp. 335-348. [ DOI : 10.1109/TSP.2015.2480045 ]
  
  https://hal.inria.fr/hal-01133087
• 8A. Muscariello, F. Bimbot, G. Gravier.
  
  Unsupervised Motif Acquisition in Speech via Seeded Discovery and Template Matching Combination, in: IEEE Transactions on Audio, Speech and Language Processing, September 2012, vol. 20, n^o 7, pp. 2031 - 2044. [ DOI : 10.1109/TASL.2012.2194283 ]
  
  http://hal.inria.fr/hal-00740978
• 9S. Nam, M. E. Davies, M. Elad, R. Gribonval.
  
  The Cosparse Analysis Model and Algorithms, in: Applied and Computational Harmonic Analysis, 2013, vol. 34, n^o 1, pp. 30–56, Preprint available on arXiv since 24 Jun 2011. [ DOI : 10.1016/j.acha.2012.03.006 ]
  
  http://hal.inria.fr/inria-00602205
• 10A. Ozerov, E. Vincent, F. Bimbot.
  
  A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, in: IEEE Transactions on Audio, Speech and Language Processing, May 2012, vol. 20, n^o 4, pp. 1118 - 1133, 16.
  
  http://hal.inria.fr/hal-00626962
• 11E. Vincent, N. Bertin, R. Gribonval, F. Bimbot.
  
  From blind to guided audio source separation, in: IEEE Signal Processing Magazine, December 2013.
  
  http://hal.inria.fr/hal-00922378

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 12S. Kitić.
  
  Cosparse regularization of physics-driven inverse problems, IRISA, Inria Rennes, November 2015.
  
  https://hal.archives-ouvertes.fr/tel-01237323
• 13N. Souviraà-Labastie.
  
  Audio motif spotting for guided source separation. Application to movie soundtracks, Université de Rennes 1, November 2015.
  
  https://hal.inria.fr/tel-01245318

Articles in International Peer-Reviewed Journals

• 14H. Becker, L. Albera, P. Comon, R. Gribonval, F. Wendling, I. Merlet.
  
  Brain source imaging: from sparse to tensor models, in: IEEE Signal Processing Magazine, November 2015, vol. 32, n^o 6, pp. 100-112. [ DOI : 10.1109/MSP.2015.2413711 ]
  
  https://hal.archives-ouvertes.fr/hal-01190559
• 15H. Becker, L. Albera, P. Comon, A. Kachenoura, I. Merlet.
  
  A penalized semi-algebraic deflation ICA algorithm for the efficient extraction of interictal epileptic signals, in: IEEE Journal of Biomedical and Health Informatics, 2015.
  
  https://hal.archives-ouvertes.fr/hal-01246030
• 16F. Bimbot, E. Deruty, G. Sargent, E. Vincent.
  
  System & Contrast : A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, in: Music Perception, 2016, 41 p, To appear - http://mp.ucpress.edu/.
  
  https://hal.inria.fr/hal-01188244
• 17A. Bonnefoy, V. Emiya, L. Ralaivola, R. Gribonval.
  
  Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso, in: IEEE Transactions on Signal Processing, 2015, vol. 63, n^o 19, 20 p. [ DOI : 10.1109/TSP.2015.2447503 ]
  
  https://hal.archives-ouvertes.fr/hal-01084986
• 18A. Bourrier, F. Perronnin, R. Gribonval, P. Pérez, H. Jégou.
  
  Explicit embeddings for nearest neighbor search with Mercer kernels, in: Journal of Mathematical Imaging and Vision, January 2015, pp. 1-10. [ DOI : 10.1007/s10851-015-0555-2 ]
  
  https://hal.inria.fr/hal-00722635
• 19R. Gribonval, R. Jenatton, F. Bach.
  
  Sparse and spurious: dictionary learning with noise and outliers, in: IEEE Transactions on Information Theory, 2015, 22 p, This is a substantially revised version of a first draft that appeared as a preprint titled "Local stability and robustness of sparse dictionary learning in the presence of noise", http://hal.inria.fr/hal-00737152. [ DOI : 10.1109/TIT.2015.2472522 ]
  
  https://hal.archives-ouvertes.fr/hal-01025503
• 20R. Gribonval, R. Jenatton, F. Bach, M. Kleinsteuber, M. Seibert.
  
  Sample Complexity of Dictionary Learning and other Matrix Factorizations, in: IEEE Transactions on Information Theory, 2015, 18 p, to appear. [ DOI : 10.1109/TIT.2015.2424238 ]
  
  https://hal.inria.fr/hal-00918142
• 21S. Hajipour, L. Albera, M. Bagher, I. Merlet.
  
  An efficient Jacobi-like deflationary ICA algorithm: application to EEG denoising, in: IEEE Signal Processing Letters, August 2015.
  
  https://hal.archives-ouvertes.fr/hal-01245250
• 22S. Hajipour, M. Bagher, L. Albera, I. Merlet.
  
  Denoising of ictal EEG data using semi-blind source separation methods based on time-frequency priors, in: IEEE Journal of Biomedical and Health Informatics, May 2015, vol. 19, n^o 3, pp. 839-847.
  
  https://hal.archives-ouvertes.fr/hal-01246033
• 23S. Kitić, L. Albera, N. Bertin, R. Gribonval.
  
  Physics-driven inverse problems made tractable with cosparse regularization, in: IEEE Transactions on Signal Processing, January 2016, vol. 64, n^o 2, pp. 335-348. [ DOI : 10.1109/TSP.2015.2480045 ]
  
  https://hal.inria.fr/hal-01133087
• 24M. Seibert, J. Wörmann, R. Gribonval, M. Kleinsteuber.
  
  Learning Co-Sparse Analysis Operators with Separable Structures, in: IEEE Transactions on Signal Processing, 2015. [ DOI : 10.1109/TSP.2015.2481875 ]
  
  https://hal.inria.fr/hal-01130411
• 25N. Souviraà-Labastie, A. Olivero, E. Vincent, F. Bimbot.
  
  Multi-channel audio source separation using multiple deformed references, in: IEEE Transactions on Audio, Speech and Language Processing, June 2015, vol. 23, n^o 11, pp. 1775-1787.
  
  https://hal.inria.fr/hal-01070298

Invited Conferences

• 26L. Albera, H. Becker, A. Karfoul, R. Gribonval, A. Kachenoura, S. Bensaid, L. Senhadji, A. Hernandez, I. Merlet.
  
  Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data, in: 2015 37th annual international conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, August 2015, pp. 6995 - 6998.
  
  https://hal.archives-ouvertes.fr/hal-01245239
• 27H. Becker, A. Karfoul, L. Albera, R. Gribonval, J. Fleureau, P. Guillotel, A. Kachenoura, L. Senhadji, I. Merlet.
  
  Tensor Decomposition Exploiting Structural Constraints for Brain Source Imaging, in: 2015 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 2015, pp. 181-184.
  
  https://hal.archives-ouvertes.fr/hal-01245111
• 28G. Puy, M. E. Davies, R. Gribonval.
  
  Linear embeddings of low-dimensional subsets of a Hilbert space to ${ℝ}^m$, in: EUSIPCO - 23rd European Signal Processing Conference, Nice, France, August 2015.
  
  https://hal.inria.fr/hal-01116153
• 29L. Wang, L. Albera, L. Senhadji, J.-C. Pesquet.
  
  An Alternating Direction Method of Multipliers for Constrained Joint Diagonalization by Congruence (Invited Paper), in: 2015 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 2015, pp. 197-200.
  
  https://hal.archives-ouvertes.fr/hal-01245119

International Conferences with Proceedings

• 30M. Chafii, J. Palicot, R. Gribonval.
  
  L'optimalité de l'OFDM en termes de performance en PAPR, in: 25ème Colloque Gretsi 2015, Lyon, France, September 2015.
  
  https://hal-supelec.archives-ouvertes.fr/hal-01165509
• 32L. Le Magoarou, R. Gribonval, A. Gramfort.
  
  FA$\mu$ST: speeding up linear transforms for tractable inverse problems, in: European Signal Processing Conference (EUSIPCO), Nice, France, August 2015.
  
  https://hal.archives-ouvertes.fr/hal-01156478
• 33L. Le Magoarou, R. Gribonval.
  
  Chasing butterflies: In search of efficient dictionaries, in: International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015. [ DOI : 10.1109/ICASSP.2015.7178579 ]
  
  https://hal.archives-ouvertes.fr/hal-01104696
• 34A. Magassouba, N. Bertin, F. Chaumette.
  
  Sound-based control with two microphones, in: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'15, Hamburg, Germany, September 2015, pp. 5568-5573.
  
  https://hal.inria.fr/hal-01185841
• 35T. Nowakowski, N. Bertin, R. Gribonval, J. De Rosny, L. Daudet.
  
  Membrane Shape And Boundary Conditions Estimation Using Eigenmode Decomposition, in: ICASSP 2016 – 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March 2016.
  
  https://hal.inria.fr/hal-01254882
• 36T. Oberlin, C. Barillot, R. Gribonval, P. Maurel.
  
  Symmetrical EEG-FMRI Imaging by Sparse Regularization, in: EUSIPCO – 23rd European Signal Processing Conference, Nice, France, August 2015, pp. 1-5.
  
  https://hal.archives-ouvertes.fr/hal-01170889
• 37N. Souviraà-Labastie, E. Vincent, F. Bimbot.
  
  Music separation guided by cover tracks: designing the joint NMF model, in: 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Brisbane, Australia, April 2015.
  
  https://hal.archives-ouvertes.fr/hal-01108675

Conferences without Proceedings

• 38N. Bertin, S. Kitić, R. Gribonval.
  
  Joint estimation of sound source location and boundary impedance with physics-driven cosparse regularization, in: ICASSP - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01247227
• 39V. Emiya, A. Bonnefoy, L. Daudet, R. Gribonval.
  
  Le problème d'échantillonnage compressif avec permutation des capteurs et une solution de type branch-and-bound, in: Congrès ROADEF de la société Française de Recherche Opérationnelle et Aide à la Décision, Marseille, France, February 2015.
  
  https://hal.inria.fr/hal-01100265
• 40N. Keriven, A. Bourrier, R. Gribonval, P. Pérez.
  
  Sketching for Large-Scale Learning of Mixture Models, in: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 2016.
  
  https://hal.inria.fr/hal-01208027
• 41L. Le Magoarou, R. Gribonval.
  
  Are There Approximate Fast Fourier Transforms On Graphs?, in: International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01254108
• 42G. Sargent, P. Hanna, H. Nicolas, F. Bimbot.
  
  Exploring the complementarity of audio-visual structural regularities for the classification of videos into TV-program collections, in: ISM, Miami, United States, IEEE (editor), December 2015.
  
  https://hal.archives-ouvertes.fr/hal-01256229
• 43N. Tremblay, G. Puy, P. Borgnat, R. Gribonval, P. Vandergheynst.
  
  Accelerated spectral clustering using graph filtering of random signals, in: 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01243682

Scientific Books (or Scientific Book chapters)

• 44N. Bertin, L. Daudet, V. Emiya, R. Gribonval.
  
  Compressive Sensing in Acoustic Imaging, in: Compressed Sensing and its Applications - MATHEON Workshop 2013, H. Boche, R. Calderbank, G. Kutyniok, J. Vybíral (editors), Applied and Numerical Harmonic Analysis, Birkhäuser Basel, 2015, pp. 169-192.
  
  https://hal.inria.fr/hal-01180899
• 45A. Bourrier, R. Gribonval, P. Pérez.
  
  Compressive Gaussian Mixture Estimation, in: Compressed Sensing and its Applications - MATHEON Workshop 2013, H. Boche, R. Calderbank, G. Kutyniok, J. Vybíral (editors), Applied and Numerical Harmonic Analysis, Birkhäuser Basel, 2015, pp. 239–258. [ DOI : 10.1007/978-3-319-16042-9_8 ]
  
  https://hal.inria.fr/hal-01181063

Scientific Popularization

• 46N. Bertin, L. Daudet, R. Gribonval, F. Ollivier.
  
  L'holographie acoustique, un nouvel outil pour les luthiers, in: Pour la science, May 2015, n^o 451, 9 p.
  
  https://hal.inria.fr/hal-01149055

Other Publications

• 47A. Bonnefoy, V. Emiya, L. Ralaivola, R. Gribonval.
  
  Fast Solving of the Group-Lasso via Dynamic Screening, July 2015, SPARS15 - Signal Processing with Adaptive Sparse Structured Representations.
  
  https://hal.inria.fr/hal-01178354
• 48M. Chafii, J. Palicot, R. Gribonval.
  
  A Necessary Condition for Designing Waveforms with better PAPR than OFDM, September 2015, working paper or preprint.
  
  https://hal-supelec.archives-ouvertes.fr/hal-01128714
• 49N. Keriven, R. Gribonval.
  
  Compressive Gaussian Mixture Estimation by Orthogonal Matching Pursuit with Replacement, July 2015, SPARS 2015.
  
  https://hal.inria.fr/hal-01165984
• 50S. Kitić, N. Bertin, R. Gribonval.
  
  Time-data tradeoff for the sparse and cosparse regularizations of physics-driven inverse problems, July 2015, SPARS15 - Signal Processing with Adaptive Sparse Structured Representations.
  
  https://hal.inria.fr/hal-01147438
• 51L. Le Magoarou, R. Gribonval.
  
  Flexible Multi-layer Sparse Approximations of Matrices and Applications, June 2015, working paper or preprint.
  
  https://hal.inria.fr/hal-01167948
• 52L. Le Magoarou, R. Gribonval.
  
  Learning computationally efficient dictionaries and their implementation as fast transforms, February 2015, working paper or preprint.
  
  https://hal.inria.fr/hal-01010577
• 53L. Le Magoarou, R. Gribonval.
  
  Multi-layer Sparse Matrix Factorization, July 2015, SPARS 2015 Signal Processing with Adaptive Sparse Structured Representations.
  
  https://hal.inria.fr/hal-01158057
• 54G. Puy, M. E. Davies, R. Gribonval.
  
  Linear embeddings of low-dimensional subsets of a Hilbert space to ${ℝ}^m$, July 2015, SPARS15 - Signal Processing with Adaptive Sparse Structured Representations.
  
  https://hal.inria.fr/hal-01157992
• 55G. Puy, M. E. Davies, R. Gribonval.
  
  Recipes for stable linear embeddings from Hilbert spaces to ${ℝ}^m$, September 2015, Submitted to IEEE Transactions on Information Theory.
  
  https://hal.inria.fr/hal-01203614
• 56G. Puy, N. Tremblay, R. Gribonval, P. Vandergheynst.
  
  Random sampling of bandlimited signals on graphs, November 2015, working paper or preprint.
  
  https://hal.inria.fr/hal-01229578
• 57Y. Traonmilin, R. Gribonval.
  
  Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all, October 2015, working paper or preprint.
  
  https://hal.inria.fr/hal-01207987

References in notes

• 58L. ALBERA, A. FERREOL, P. CHEVALIER, P. COMON.
  
  ICAR, a tool for blind source separation using fourth order statistics only, in: IEEE Transactions On Signal Processing, October 2005, vol. 53, pp. 3633-3643.
• 59A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval, M. D. Plumbley.
  
  Audio Inpainting, in: IEEE Transactions on Audio, Speech and Language Processing, March 2012, vol. 20, n^o 3, pp. 922 - 932. [ DOI : 10.1109/TASL.2011.2168211 ]
  
  http://hal.inria.fr/inria-00577079
• 60L. Albera, S. Kitić, N. Bertin, G. Puy, R. Gribonval.
  
  Brain source localization using a physics-driven structured cosparse representation of EEG signals, in: 2014 IEEE International Workshop on Machine Learning for Signal Processing, Reims, France, September 2014, 6 p.
  
  https://hal.archives-ouvertes.fr/hal-01027609
• 61S. Arberet, A. Ozerov, F. Bimbot, R. Gribonval.
  
  A tractable framework for estimating and combining spectral source models for audio source separation, in: Signal Processing, August 2012, vol. 92, n^o 8, pp. 1886-1901.
  
  http://hal.inria.fr/hal-00694071
• 62F. Asano, S. Ikeda, M. Ogawa, H. Asoh, N. Kitawaki.
  
  Combined approach of array processing and independent component analysis for blind separation of acoustic signals, in: IEEE Transactions On Speech and Audio Processing, May 2003, vol. 11, n^o 3, pp. 204-215.
• 63D. Barry, D. Fitz, E. Coyle, B. Lawlor.
  
  Single channel source separation using short-time independent component analysis, in: Audio Engineering Society, 119's convention, 2005, pp. 1-6.
• 64H. Becker, L. Albera, P. Comon, R. Gribonval, I. Merlet.
  
  Fast, variation-based methods for the analysis of extended brain sources, in: 22nd European Signal Processing Conference (EUSIPCO-2014), Lisbonne, Portugal, September 2014, 5 p.
  
  https://hal.archives-ouvertes.fr/hal-01012083
• 65H. Becker, L. Albera, P. Comon, R. Gribonval, F. Wendling, I. Merlet.
  
  A Performance Study of various Brain Source Imaging Approaches, in: 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, IEEE, May 2014, pp. 5910-5914.
  
  https://hal.archives-ouvertes.fr/hal-00990273
• 66C. Bilen, S. Kitić, N. Bertin, R. Gribonval.
  
  Sparse Acoustic Source Localization with Blind Calibration for Unknown Medium Characteristics, August 2014, iTwist - 2nd international - Traveling Workshop on Interactions between Sparse models and Technology.
  
  https://hal.inria.fr/hal-01060320
• 67C. Blandin, A. Ozerov, E. Vincent.
  
  Multi-source TDOA estimation in reverberant audio using angular spectra and clustering, in: Signal Processing, March 2012, vol. 92, pp. 1950-1960, Revised version including minor corrections in equations (17), (18) and Figure 1 compared to the version published by Elsevier. [ DOI : 10.1016/j.sigpro.2011.10.032 ]
  
  http://hal.inria.fr/inria-00630994
• 68A. Bourrier, R. Gribonval, P. Pérez.
  
  Compressive Gaussian Mixture Estimation, in: Signal Processing with Adaptive Sparse Structured Representations (SPARS) 2013, Switzerland, July 2013.
  
  http://hal.inria.fr/hal-00811819
• 69A. Bourrier, R. Gribonval, P. Pérez.
  
  Compressive Gaussian Mixture Estimation, in: ICASSP - 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, 2013, pp. 6024-6028.
  
  http://hal.inria.fr/hal-00799896
• 70A. Bourrier, R. Gribonval, P. Pérez.
  
  Estimation de mélange de Gaussiennes sur données compressées, in: 24ème Colloque Gretsi, France, September 2013, 191 p.
  
  http://hal.inria.fr/hal-00839579
• 71J. C. Brown, P. Smaragdis.
  
  Independent component analysis for automatic note extraction from musical trills, in: Acoustical Society of America, May 2004, vol. 115, n^o 5, pp. 2295-2306.
• 72J.-F. Cardoso, A. Souloumiac.
  
  Blind beamforming for non-gaussian signals, in: IEE Proceesings-F, December 1993, vol. 140, no. 6, pp. 362-370.
• 73J. Carroll, J. Chang.
  
  Analysis of individual differences in multidimensional scaling via an N-way generalization of Eckart-Young decomposition, in: Psychometrika, 1970, n^o 9, pp. 267-283.
• 74M. A. Casey, A. Westner.
  
  Separation of mixed audio sources by independent component analysis, Mistubishi electric research labs, Cambridge, MA, USA, 2000.
  
  http://www.merl.com/publications/TR2001-031/
• 75M. Chafii, J. Palicot, R. Gribonval.
  
  A PAPR upper bound of generalized waveforms for multi-carrier modulation systems, in: 6th International Symposium on Communications, Control, and Signal Processing - ISCCSP 2014, Athènes, Greece, May 2014, pp. 461 - 464. [ DOI : 10.1109/ISCCSP.2014.6877913 ]
  
  https://hal-supelec.archives-ouvertes.fr/hal-01072519
• 76M. Chafii, J. Palicot, R. Gribonval.
  
  Closed-form Approximations of the PAPR Distribution for Multi-Carrier Modulation Systems, in: EUSIPCO 2014 - European Signal Processing Conference, Lisbonne, Portugal, September 2014.
  
  https://hal.inria.fr/hal-01054126
• 77M. Chafii, J. Palicot, R. Gribonval.
  
  Closed-form approximations of the peak-to-average power ratio distribution for multi-carrier modulation and their applications, in: EURASIP Journal on Advances in Signal Processing, 2014, vol. 2014, n^o 1, 121 p. [ DOI : 10.1186/1687-6180-2014-121 ]
  
  https://hal.inria.fr/hal-01056153
• 78F. Chaumette, S. Hutchinson.
  
  Visual servo control, Part I: Basic approaches, in: IEEE Robotics and Automation Magazine, 2006, vol. 13, n^o 4, pp. 82-90.
  
  https://hal.inria.fr/inria-00350283
• 79P. Chevalier, A. Chevreuil.
  
  Application to telecommunications, in: Handbook of blind source separation, P. Comon, C. Jutten (editors), Academic Press, March 2010.
• 80N. Delfosse, P. Loubaton.
  
  Adaptive blind separation of independent sources: a deflation approach, in: Signal Processing, Elsevier, 1995, vol. 45, pp. 59-83.
• 81L. Ding.
  
  Reconstructing cortical current density by exploring sparseness in the transform domain, in: Physics in Medicine and Biology, 2009, vol. 54, pp. 2683-2697.
• 82K. Dong-Goo, S. Younghum, K. Sungsu, L. Seongdeok, K. Changyeong.
  
  Multiple object decomposition based on independent component analysis of multi-energy X-ray projections, in: International Conference on Image Processing ICIP, 2010, pp. 4173-4176.
• 83N. Duong, E. Vincent, R. Gribonval.
  
  Spatial location priors for Gaussian model-based reverberant audio source separation, Inria, September 2012, n^o RR-8057.
  
  http://hal.inria.fr/hal-00727781
• 84N. Duong, E. Vincent, R. Gribonval.
  
  Spatial location priors for Gaussian model based reverberant audio source separation, in: EURASIP Journal on Advances in Signal Processing, September 2013, 149 p. [ DOI : 10.1186/1687-6180-2013-149 ]
  
  http://hal.inria.fr/hal-00865125
• 85R. Giryes, S. Nam, M. Elad, R. Gribonval, M. E. Davies.
  
  Greedy-Like Algorithms for the Cosparse Analysis Model, in: Linear Algebra and its Applications, January 2014, vol. 441, pp. 22–60, partially funded by the ERC, PLEASE project, ERC-2011-StG-277906. [ DOI : 10.1016/j.laa.2013.03.004 ]
  
  http://hal.inria.fr/hal-00716593
• 86R. Gribonval, K. Schnass.
  
  Dictionary identifiability from few training samples, in: Proc. European Conf. on Signal Processing - EUSIPCO, August 2008.
• 87J. Hao, X. Zou, P. M. Wilson, N. P. Davies, Y. Sun, C. A. Peet, T. N. Arvanitis.
  
  A comparative study of feature extraction and blind source separation of independent component analysis (ICA) on childhood brain tumour 1H magnetic resonance spectra, in: NMR in Biomedicine, 2009, vol. 22, n^o 8, pp. 809-818.
• 88R. A. Harshman.
  
  Foundation of PARAFAC procedure: Models and conditions for an 'Explanatory' multi-mode factor analysis, in: UCLA working papers in Phonetics, 1970, n^o 16, pp. 1-84.
• 89F. L. Hitchcock.
  
  Multiple invariants and generalized rank of a p-way matrix or tensor, in: J. Math. and Phys., 1927, vol. 7, n^o 1, pp. 39-79.
• 90A. Hyvarinen, E. Oja.
  
  A fast fixed-point algorithm for independent component analysis, in: Neural Computation, 1997, vol. 9, n^o 7, pp. 1483-1492.
• 91N. Ito.
  
  Robust microphone array signal processing against diffuse noise, University of Tokyo, January 2012.
  
  http://hal.inria.fr/tel-00691931
• 92N. Ito, E. Vincent, N. Ono, S. Sagayama.
  
  Robust estimation of directions-of-arrival in diffuse noise based on matrix-space sparsity, Inria, October 2012, n^o RR-8120.
  
  http://hal.inria.fr/hal-00746271
• 93C. Jordan.
  
  Mémoire sur les formes bilinéaires, in: Journal de mathématiques pures et appliquées 2e série, tome 19, 1874, pp. 35-54.
• 94S. Kitić, N. Bertin, R. Gribonval.
  
  A review of cosparse signal recovery methods applied to sound source localization, in: Le XXIVe colloque Gretsi, Brest, France, September 2013.
  
  http://hal.inria.fr/hal-00838080
• 95S. Kitić, N. Bertin, R. Gribonval.
  
  Audio Declipping by Cosparse Hard Thresholding, December 2013, Submitted to iTwist 2014.
  
  http://hal.inria.fr/hal-00922497
• 96S. Kitić, N. Bertin, R. Gribonval.
  
  Hearing behind walls: localizing sources in the room next door with cosparsity, December 2013, Submitted to ICASSP (the review results are scheduled for February, 3rd, 2014).
  
  http://hal.inria.fr/hal-00904779
• 97J. B. Kruskal, R. A. Harshman, M. E. Lundy.
  
  How 3-MFA data can cause degenerate Parafac solutions, among other relationships, in: Multiway Data Analysis, 1989, pp. 115-121.
• 98X. LUCIANI, L. ALBERA.
  
  Joint eigenvalue decomposition of non-defective matrices based on the LU factorization with application to ICA, in: IEEE Transactions On Signal Processing, September 2015, vol. 63, n^o 17, pp. 4594-4608.
• 99X. Luciani, L. Albera.
  
  Canonical Polyadic Decomposition based on joint eigenvalue decomposition, in: Elsevier Chemometrics and Intelligent Laboratory Systems, March 2014, vol. 132, pp. 152-167.
  
  https://hal.archives-ouvertes.fr/hal-00949746
• 100P. Mccullagh.
  
  Tensor Methods in Statistics, Chapman and Hall, Monographs on Statistics and Applied Probability, 1987.
• 101S. Nam, M. E. Davies, M. Elad, R. Gribonval.
  
  The Cosparse Analysis Model and Algorithms, in: Applied and Computational Harmonic Analysis, 2013, vol. 34, n^o 1, pp. 30–56, Preprint available on arXiv since 24 Jun 2011. [ DOI : 10.1016/j.acha.2012.03.006 ]
  
  http://hal.inria.fr/inria-00602205
• 102S. Nam, R. Gribonval.
  
  Physics-driven structured cosparse modeling for source localization, in: Acoustics, Speech and Signal Processing, IEEE International Conference on (ICASSP 2012), Kyoto, Japon, IEEE, 2012.
  
  http://hal.inria.fr/hal-00659405
• 103E. Narmour.
  
  Music expectation by cognitive rule-mapping, in: Music Perception, 2000.
• 104E. Narmour.
  
  The analysis and cognition of basic melodic structures: the implication-realization model, University of Chicago Press, 1990.
• 105E. Narmour.
  
  The analysis and cognition of melodic complexity : the implication-realization model, University of Chicago Press, 1992.
• 106A. Ozerov, E. Vincent, F. Bimbot.
  
  A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, in: IEEE Transactions on Audio, Speech and Language Processing, May 2012, vol. 20, n^o 4, pp. 1118 - 1133, 16.
  
  http://hal.inria.fr/hal-00626962
• 107J. Pulkkinen, A. M. Hakkinen, N. Lundbom, A. Paetau, R. A. Kauppinen, Y. Hiltunen.
  
  Independent component analysis to proton spectroscopic imaging data to human brain tumours, in: European Journal of Radiology, November 2005, vol. 56, n^o 2, pp. 160-164.
• 108Y. Salaün, E. Vincent, N. Bertin, N. Souviraà-Labastie, X. Jaureguiberry, D. Tran, F. Bimbot.
  
  The Flexible Audio Source Separation Toolbox Version 2.0, May 2014, ICASSP.
  
  https://hal.inria.fr/hal-00957412
• 109K. Schnass, R. Gribonval.
  
  Basis Identification from Random Sparse Samples, in: Proc. SPARS'09 (Signal Processing with Adaptive Sparse Structured Representations), Saint-Malo, France, April 2009.
• 110F. Szabo De Edelenyi, A. Simonetti, G. Postma, R. Huo, L. Buydens.
  
  Application of independent component analysis to 1H MR spectroscopic imaging exams of brain tumours, in: Analytica Chimica Acta, July 2005, vol. 544, n^o 1-2, pp. 36-46.
• 111A. Tonazzini, L. Bedini, E. Salerno.
  
  Independent component analysis for document restoration, in: International Journal on Document Analysis and Recogniton IJDAR, April 2004, n^o 7, pp. 17–27.
• 112L. Tucker.
  
  Some mathematical notes on three-mode factor analysis, in: Psychometrika, September 1966, vol. 31, n^o 3, pp. 279-311.
• 113E. Vincent, N. Bertin, R. Gribonval, F. Bimbot.
  
  From blind to guided audio source separation, in: IEEE Signal Processing Magazine, December 2013.
  
  http://hal.inria.fr/hal-00922378
• 114V. Zarzoso, P. Comon.
  
  Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast With Algebraic Optimal Step Size, in: IEEE Transactions on Neural Networks, February 2010, vol. 21, n^o 2, pp. 248-261.