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 (Original Extensive Version), December 2012, n^o IRISA PI-1999, 40 p.

http://hal.inria.fr/hal-00868398
3G. Chardon, L. Daudet, A. Peillot, F. Ollivier, N. Bertin, R. Gribonval.

Nearfield Acoustic Holography using sparsity and compressive sampling principles, in: Journal of the Acoustical Society of America, 2012, Code & data for reproducing the main figures of this paper are available at the provided urls.

http://hal.inria.fr/hal-00720129
4N. 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
5R. 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
6R. Gribonval, K. Schnass.

Dictionary Identification - Sparse Matrix-Factorisation via $ℓ_1$ -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
7D. 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
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

12A. Bourrier.

Compressed sensing and dimensionality reduction for unsupervised learning, Université Rennes 1, May 2014.

https://tel.archives-ouvertes.fr/tel-01023030

Articles in International Peer-Reviewed Journals

13H. Becker, L. Albera, P. Comon, M. Haardt, G. Birot, F. Wendling, M. Gavaret, C.-G. Bénar, I. Merlet.

EEG extended source localization: Tensor-based vs. conventional methods, in: NeuroImage, August 2014, vol. 96, pp. 143-57. [ DOI : 10.1016/j.neuroimage.2014.03.043 ]

https://hal.archives-ouvertes.fr/hal-01011856
14A. Benichoux, L. S. R. Simon, E. Vincent, R. Gribonval.

Convex regularizations for the simultaneous recording of room impulse responses, in: IEEE Transactions on Signal Processing, January 2014. [ DOI : 10.1109/TSP.2014.2303431 ]

https://hal.inria.fr/hal-00934941
15C. Bilen, G. Puy, R. Gribonval, L. Daudet.

Convex Optimization Approaches for Blind Sensor Calibration using Sparsity, in: IEEE Transactions on Signal Processing, September 2014, vol. 62, n^o 18, pp. 4847-4856. [ DOI : 10.1109/TSP.2014.2342651 ]

https://hal.inria.fr/hal-00853225
16A. Bourrier, M. E. Davies, T. Peleg, P. Pérez, R. Gribonval.

Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems, in: IEEE Transactions on Information Theory, December 2014, pp. 7928-7946. [ DOI : 10.1109/TIT.2014.2364403 ]

https://hal.archives-ouvertes.fr/hal-00908358
17M. 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
18J. Coloigner, L. Albera, A. Kachenoura, F. Noury, L. Senhadji.

Semi-nonnegative joint diagonalization by congruence and semi-nonnegative ICA, in: Signal Processing, May 2014, vol. 105, pp. 185-197. [ DOI : 10.1016/j.sigpro.2014.05.017 ]

http://www.hal.inserm.fr/inserm-01006599
19J. Coloigner, A. Karfoul, L. Albera, P. Comon.

Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors, in: Linear Algebra and Applications, June 2014, vol. 450, pp. 334-374.

https://hal.archives-ouvertes.fr/hal-00945606
20R. 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 ]

https://hal.inria.fr/hal-00716593
21L. Le Magoarou, A. Ozerov, N. Duong.

Text-informed audio source separation. Example-based approach using non-negative matrix partial co-factorization, in: Journal of Signal Processing Systems, June 2014, 13 p.

https://hal.inria.fr/hal-01010602
22X. 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
23H. Regnault, A. Bourrier, V. Lalande, I. Nion-Larmurier, H. Sokol, P. Seksik, F. Barbut, J. Cosnes, L. Beaugerie.

Prevalence and risk factors of Clostridium difficile infection in patients hospitalized for flare of inflammatory bowel disease: A retrospective assessment, in: Digestive and Liver Disease, October 2014, S1590-8658.

https://hal.archives-ouvertes.fr/hal-01074267
24M. Rubeaux, J.-C. Nunes, L. Albera, M. Garreau.

Medical image registration using Edgeworth-based approximation of Mutual Information, in: IRBM, June 2014, vol. 35, n^o 3, pp. 139-148.

https://hal.archives-ouvertes.fr/hal-00914411
25E. Vincent, N. Bertin, R. Gribonval, F. Bimbot.

From blind to guided audio source separation: How models and side information can improve the separation of sound, in: IEEE Signal Processing Magazine, May 2014, vol. 31, n^o 3, pp. 107-115.

https://hal.inria.fr/hal-00922378
26L. Wang, L. Albera, A. Kachenoura, H. Shu, L. Senhadji.

Canonical polyadic decomposition of 3rd order semi-nonnegative semi-symmetric tensors using LU and QR matrix factorizations, in: EURASIP Journal on Advances in Signal Processing, September 2014, 33 p.

https://hal.archives-ouvertes.fr/hal-01065628

Invited Conferences

27M. Chafii, J. Palicot, R. Gribonval.

A PAPR upper bound of generalized waveforms for multi-carrier modulation systems, in: ISCCSP - 6th International Symposium on Communications, Control, and Signal Processing, Athènes, Greece, May 2014, pp. 461-464. [ DOI : 10.1109/ISCCSP.2014.6877913 ]

https://hal-supelec.archives-ouvertes.fr/hal-01072519

International Conferences with Proceedings

28L. 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
29H. 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
30H. Becker, L. Albera, P. Comon, R. Gribonval, F. Wendling, I. Merlet.

A Performance Study of various Brain Source Imaging Approaches, in: ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, IEEE, May 2014, pp. 5910-5914.

https://hal.archives-ouvertes.fr/hal-00990273
31F. Bimbot, G. Sargent, E. Deruty, C. Guichaoua, E. Vincent.

Semiotic Description of Music Structure: an Introduction to the Quaero/Metiss Structural Annotations, in: AES 53rd International Conference on Semantic Audio, London, United Kingdom, January 2014, 1 p, 12.

https://hal.archives-ouvertes.fr/hal-00931859
33M. 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
34V. Emiya, A. Bonnefoy, L. Daudet, R. Gribonval.

Compressed sensing with unknown sensor permutation, in: ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014. [ DOI : 10.1109/ICASSP.2014.6853755 ]

https://hal.inria.fr/hal-00881407
35G. Gravier, N. Souviraà-Labastie, S. Campion, F. Bimbot.

Audio thumbnails for spoken content without transcription based on a maximum motif coverage criterion, in: Annual Conference of the International Speech Communication Association, Singapore, September 2014.

https://hal.archives-ouvertes.fr/hal-01026402
36A. Karfoul, A. Kachenoura, L. Albera, D. Safieddine, A. Pasnicu, F. Wendling, L. Senhadji, I. Merlet.

Muscle artifact removal in ictal scalp-EEG based on blind source separation, in: 6th European Conference of the International Federation for Medical and Biological Engineering, Dubrovnik, Croatia, September 2014, 4 p.

https://hal.archives-ouvertes.fr/hal-01015798
37S. Kitić, N. Bertin, R. Gribonval.

Hearing behind walls: localizing sources in the room next door with cosparsity, in: ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014.

https://hal.inria.fr/hal-00904779
38M. Seibert, M. Kleinsteuber, R. Gribonval, R. Jenatton, F. Bach.

On The Sample Complexity Of Sparse Dictionary Learning, in: SSP 2014 - IEEE Workshop on Statistical Signal Processing, Jupiters, Gold Coast, Australia, IEEE, June 2014, This work was partially supported Cluster of Excellence CoTeSys funded by the German DFG. This work was partially supported by the EU FP7, SMALL project, FET-Open grant number 225913.

https://hal.inria.fr/hal-00990684
39M. Seibert, J. Wörmann, R. Gribonval, M. Kleinsteuber.

Separable Cosparse Analysis Operator Learning, in: EUSIPCO 2014 - European Signal Processing Conference, Lisbonne, Portugal, September 2014.

https://hal.inria.fr/hal-01054124
40N. Souviraà-Labastie, A. Olivero, E. Vincent, F. Bimbot.

Audio source separation using multiple deformed references, in: Eusipco, Lisboa, Portugal, September 2014.

https://hal.inria.fr/hal-01017571
41N. Souviraà-Labastie, E. Vincent, F. Bimbot.

Music separation guided by cover tracks: designing the joint NMF model, in: ICASSP - 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, April 2015, forthcoming.

https://hal.archives-ouvertes.fr/hal-01108675
42M. Tillmann, R. Gribonval, E. Pfetsch.

Projection onto the Cosparse Set is NP-Hard, in: ICASSP14 - International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, IEEE, May 2014.

https://hal.inria.fr/hal-00802359
43L. Wang, L. Albera, A. Kachenoura, H. Shu, L. Senhadji.

CP decomposition of semi-nonnegative semisymmetric tensors based on QR matrix factorization, in: The eighth IEEE Sensor Array and Multi-Channel Signal Processing Workshop, A Coruna, Spain, June 2014, 4 p.

https://hal.archives-ouvertes.fr/hal-01012125
44L. Wang, A. Kachenoura, L. Albera, A. Karfoul, H. Zhong Shu, L. Senhadji.

Nonnegative Compression for Semi-Nonnegative Independent Component Analysis, in: The eighth IEEE Sensor Array and Multi-Channel Signal Processing Workshop, A Coruna, Spain, June 2014, 4 p.

https://hal.archives-ouvertes.fr/hal-01012136

Conferences without Proceedings

45V. 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
46R. Gribonval, R. Jenatton, F. Bach, M. Kleinsteuber, M. Seibert.

Apprentissage de dictionnaire pour les représentations parcimonieuses, in: 46e Journées de Statistique, Rennes, France, Société Française de Statistique, June 2014, This is an abstract of the full preprint available at http://hal.inria.fr/hal-00918142/.

https://hal.inria.fr/hal-01054122
47R. Gribonval, P. Machart.

Conciliation d'a prioris sans préjugé, in: 46è Journées de Statistique, Rennes, France, June 2014.

https://hal.inria.fr/hal-01055789

Scientific Popularization

48C. 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
49S. Kitić, N. Bertin, R. Gribonval.

Audio Declipping by Cosparse Hard Thresholding, August 2014, iTwist - 2nd international - Traveling Workshop on Interactions between Sparse models and Technology.

https://hal.inria.fr/hal-00922497
50L. Le Magoarou, R. Gribonval.

Strategies to learn computationally efficient and compact dictionaries, August 2014, International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST).

https://hal.inria.fr/hal-01010766

Other Publications

51C. Bilen, G. Puy, R. Gribonval, L. Daudet.

Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit, March 2014.

https://hal.inria.fr/hal-00960272
52A. Bonnefoy, V. Emiya, L. Ralaivola, R. Gribonval.

Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso, November 2014.

https://hal.archives-ouvertes.fr/hal-01084986
53A. Bourrier, F. Perronnin, R. Gribonval, P. Pérez, H. Jégou.

Explicit embeddings for nearest neighbor search with Mercer kernels, January 2015, To appear in Journal of Mathematical Imaging and Vision.

https://hal.inria.fr/hal-00722635
54R. Gribonval, R. Jenatton, F. Bach.

Sparse and spurious: dictionary learning with noise and outliers, September 2014, 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.

https://hal.archives-ouvertes.fr/hal-01025503
55R. Gribonval, R. Jenatton, F. Bach, M. Kleinsteuber, M. Seibert.

Sample Complexity of Dictionary Learning and other Matrix Factorizations, November 2014, forthcoming.

https://hal.inria.fr/hal-00918142
56L. Le Magoarou, R. Gribonval.

Learning computationally efficient dictionaries and their implementation as fast transforms, June 2014.

https://hal.inria.fr/hal-01010577
57L. Le Magoarou, R. Gribonval.

Chasing butterflies: In search of efficient dictionaries, January 2015.

https://hal.archives-ouvertes.fr/hal-01104696
58Y. Salaün, E. Vincent, N. Bertin, N. Souviraà-Labastie, X. Jaureguiberry, D. T. Tran, F. Bimbot.

The Flexible Audio Source Separation Toolbox Version 2.0, May 2014, ICASSP.

https://hal.inria.fr/hal-00957412
59N. Souviraà-Labastie, A. Olivero, E. Vincent, F. Bimbot.

Multi-channel audio source separation using multiple deformed references, November 2014.

https://hal.inria.fr/hal-01070298

References in notes

60A. Adler, V. Emiya, M. 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
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.
64C. Bilen, R. Gribonval, G. Puy, L. Daudet.

Blind Calibration for Phase Shifts in Compressive Systems, in: Signal Processing with Adaptive Sparse Structured Representations (SPARS 2013), Lausanne, Switzerland, July 2013, Signal Processing with Adaptive Sparse Structured Representations (SPARS 2013).

http://hal.inria.fr/hal-00811848
65C. Bilen, G. Puy, R. Gribonval, L. Daudet.

Blind Phase Calibration in Sparse Recovery, in: EUSIPCO - 21st European Signal Processing Conference - 2013, Marrakech, Morocco, September 2013.

http://hal.inria.fr/hal-00813421
66C. Bilen, G. Puy, R. Gribonval, L. Daudet.

Blind Sensor Calibration in Sparse Recovery Using Convex Optimization, in: SAMPTA - 10th International Conference on Sampling Theory and Applications - 2013, Bremen, Germany, 2013.

http://hal.inria.fr/hal-00813409
67G. Birot, L. Albera, F. Wendling, I. Merlet.

Localisation of extended brain sources from EEG/MEG: the ExSo-MUSIC approach, in: Elsevier Neuroimage, May 2011, vol. 56, n^o 1, pp. 102-113.
68C. 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
69A. 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
70A. 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
71A. 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
72J. 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.
73J.-F. Cardoso, A. Souloumiac.

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74J. Carroll, J. Chang.

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75M. A. Casey, A. Westner.

Separation of mixed audio sources by independent component analysis, Mistubishi electric research labs, Cambridge, MA, USA, 2000.

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76F. 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
77P. Chevalier, A. Chevreuil.

Application to telecommunications, in: Handbook of blind source separation, P. Comon, C. Jutten (editors), Academic Press, March 2010.
78N. Delfosse, P. Loubaton.

Adaptive blind separation of independent sources: a deflation approach, in: Signal Processing, Elsevier, 1995, vol. 45, pp. 59-83.
79L. Ding.

Reconstructing cortical current density by exploring sparseness in the transform domain, in: Physics in Medicine and Biology, 2009, vol. 54, pp. 2683-2697.
80K. 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.
81N. 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
82N. 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
83R. 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
84R. Gribonval, G. Chardon, L. Daudet.

Blind Calibration for Compressed Sensing by Convex Optimization, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japon, 2012.

http://hal.inria.fr/hal-00658579
85R. 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
86R. Gribonval.

Reconciling ”priors” and ”priors” without prejudice ?, in: international biomedical and astronomical signal processing (BASP) Frontiers workshop, Villars-sur-Ollon, Switzerland, 2013, international biomedical and astronomical signal processing (BASP) Frontiers workshop.

http://hal.inria.fr/hal-00751996
87R. Gribonval, P. Machart.

Reconciling "priors" & "priors" without prejudice? (research report), Inria, September 2013, n^o RR-8366.

http://hal.inria.fr/hal-00862925
88R. Gribonval, P. Machart.

Reconciling "priors" and "priors" without prejudice?, in: Advances in Neural Information Processing Systems, South Lake Tahoe, United States, June 2013, The companion technical report hal-00862925 contains additional worked examples.

http://hal.inria.fr/hal-00918008
89R. Gribonval, K. Schnass.

Dictionary identifiability from few training samples, in: Proc. European Conf. on Signal Processing - EUSIPCO, August 2008.
90J. 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.
91R. 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.
92F. L. Hitchcock.

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93A. Hyvarinen, E. Oja.

A fast fixed-point algorithm for independent component analysis, in: Neural Computation, 1997, vol. 9, n^o 7, pp. 1483-1492.
94N. Ito.

Robust microphone array signal processing against diffuse noise, University of Tokyo, January 2012.

http://hal.inria.fr/tel-00691931
95N. 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
96C. Jordan.

Mémoire sur les formes bilinéaires, in: Journal de mathématiques pures et appliquées 2e série, tome 19, 1874, pp. 35-54.
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