J. M. Morel and G. Yu, ASIFT: A New Framework for Fully Affine Invariant Image Comparison, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.438-469, 2009.
DOI : 10.1137/080732730

G. Yu, S. Mallat, and E. Bacry, Audio Denoising by Time-Frequency Block Thresholding, IEEE Transactions on Signal Processing, vol.56, issue.5, pp.1830-1839, 2008.
DOI : 10.1109/TSP.2007.912893

G. Yu and J. J. Slotine, Visual Grouping by Neural Oscillators, accepted to IEEE Trans, 2009.

J. M. Morel and G. Yu, On the consistency of the SIFT Method, accepted to Inverse Problems and Imaging, 2009.

S. Mallat and G. Yu, Super-Resolution with Piecewise Linear Sparse Representations, to be sumitted, 2009.

S. Mallat and G. Yu, Structured Space Pursuits for Geometric Super-Resolution, invited paper, Conference Papers 1. Proc. IEEE International Conference on Image Processing, 2009.

G. Yu and S. Mallat, Sparse Super-Resolution with Space Matching Pursuits, Proc. Signal Processing with Adaptive Sparse Structured Representations (SPARS'09), Saint- Malo, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00369620

G. Yu and J. M. , A fully affine invariant image comparison method, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
DOI : 10.1109/ICASSP.2009.4959904

G. Yu and J. J. Slotine, Audio classification from time-frequency texture, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
DOI : 10.1109/ICASSP.2009.4959924

G. Yu and J. J. Slotine, Visual grouping by neural oscillators, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
DOI : 10.1109/ICASSP.2009.4959808

G. Yu and J. J. Slotine, Fast Wavelet-based Visual Classification, Proc. IEEE International Conference on Pattern Recognition (ICPR), 2008.

G. Yu, E. Bacry, and S. Mallat, Audio Signal Denoising with Complex Wavelets and Adaptive Block Attenuation, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.869-872, 2007.
DOI : 10.1109/ICASSP.2007.366818

. S. Patents-1, G. Mallat, and . Yu, Video enhancement using recursive bandlets, 2008.

G. Yu and J. M. , Proédé et dispositif de reconnaissance invariante-affine de formes (Process and system of affine-invariant shape recognition), FR 08, 2008.

A. Agarwala, M. Agrawala, M. Cohen, D. Salesin, and R. Szeliski, Photographing long scenes with multi-viewpoint panoramas, International Conference on Computer Graphics and Interactive Techniques, pp.853-861, 2006.

A. Ashbrook, N. Thacker, C. Pi-rockett, and . Brown, Robust Recognition of Scaled Shapes using Pairwise Geometric Histograms., Procedings of the British Machine Vision Conference 1995, pp.503-512, 1995.
DOI : 10.5244/C.9.50

F. Attneave, Some informational aspects of visual perception., Psychological Review, vol.61, issue.3, pp.183-193, 1954.
DOI : 10.1037/h0054663

G. Aubert and P. Kornprobst, Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations, 2006.

M. Bahoura and J. Rouat, Wavelet speech enhancement based on time???scale adaptation, Speech Communication, vol.48, issue.12, pp.1620-1637, 2006.
DOI : 10.1016/j.specom.2006.06.004

A. Baumberg, Reliable feature matching across widely separated views, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.774-781, 2000.
DOI : 10.1109/CVPR.2000.855899

H. Bay, T. Tuytelaars, and L. Van-gool, Surf: Speeded up robust features, European Conference on Computer Vision, pp.404-417, 2006.

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, 2002.
DOI : 10.1109/34.993558

M. Bennewitz, C. Stachniss, W. Burgard, and S. Behnke, Metric Localization with Scale-Invariant Visual Features Using a Single Perspective Camera, European Robotics Symposium, 2006.
DOI : 10.1007/11681120_16

M. Berouti, R. Schwartz, J. Makhoul, B. Beranek, I. Newman et al., Enhancement of speech corrupted by acoustic noise, ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1979.
DOI : 10.1109/ICASSP.1979.1170788

S. Boll, Suppression of acoustic noise in speech using spectral subtraction, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.27, issue.2, pp.113-120, 1979.
DOI : 10.1109/TASSP.1979.1163209

G. J. Brown and D. L. Wang, Modelling the perceptual segregation of double vowels with a network of neural oscillators, Neural Networks, vol.10, issue.9, pp.1547-1558, 1997.
DOI : 10.1016/S0893-6080(97)00046-4

M. Brown and D. Lowe, Recognising panoramas, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1218-1225, 2003.
DOI : 10.1109/ICCV.2003.1238630

A. Buades, B. Coll, and J. M. , A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, pp.490-530, 2006.
DOI : 10.1137/040616024
URL : https://hal.archives-ouvertes.fr/hal-00271141

G. Buzsaki, Rhythms of the Brain, 2006.
DOI : 10.1093/acprof:oso/9780195301069.001.0001

T. Cai and H. Zhou, A data-driven block thresholding approach to wavelet estimation, The Annals of Statistics, vol.37, issue.2, 2005.
DOI : 10.1214/07-AOS538

T. T. Cai, Adaptive wavelet estimation: a block thresholding and oracle inequality approach, Annals of Statistics, pp.898-924, 1999.

T. T. Cai and W. Bemard, Silverman Incorporating Information on Neighboring Coefficients into Wavelet Estimation, Sankhya, vol.63, pp.127-148, 2001.

E. Candes, L. Demanet, D. Donoho, and L. Ying, Fast Discrete Curvelet Transforms, Multiscale Modeling & Simulation, vol.5, issue.3, pp.861-899, 2006.
DOI : 10.1137/05064182X

E. J. Candes and D. L. Donoho, Curvelets: a surprisingly effective nonadaptive representation for objects with edges. Curves and Surfaces, pp.105-120, 2000.

F. Cao, J. Lisani, J. Morel, P. Musé, and F. Sur, A Theory of Shape Identification, 2008.
DOI : 10.1007/978-3-540-68481-7
URL : https://hal.archives-ouvertes.fr/inria-00319719

O. Cappe, Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor, IEEE Transactions on Speech and Audio Processing, vol.2, issue.2, pp.345-349, 1994.
DOI : 10.1109/89.279283

E. Y. Chang, EXTENT, Proceedings of the 2nd international workshop on Computer vision meets databases , CVDB '05, pp.5-11, 2005.
DOI : 10.1145/1160939.1160945

S. Chang, Y. Kwon, S. Yang, and I. Kim, Speech enhancement for non-stationary noise environment by adaptivewavelet packet, IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings.(ICASSP'02), 2002.

C. Chaux, A. Benazza-benyahia, J. C. Laine, A. F. Unser, and A. Michael, A block-thresholding method for multispectral image denoising, Wavelets XI, pp.495-507, 2005.
DOI : 10.1117/12.617880
URL : https://hal.archives-ouvertes.fr/hal-00621849

K. Chen and D. L. Wang, A dynamically coupled neural oscillator network for image segmentation, Neural Networks, vol.15, issue.3, pp.423-439, 2002.
DOI : 10.1016/S0893-6080(02)00028-X

S. H. Chen and J. F. Wang, Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator, The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology, vol.36, issue.2/3, pp.125-139, 2004.
DOI : 10.1023/B:VLSI.0000015092.19005.62

S. S. Chen, D. L. Donoho, and M. A. Saunders, Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1999.
DOI : 10.1137/S1064827596304010

Y. Cheng, Mean Shift, Mode Seeking, and Clustering. Pattern Analysis and Machine Intelligence, IEEE Transactions on, p.790799, 1995.

C. Chesneau, J. Fadili, and J. L. Starck, Stein block thresholding for image denoising. Arxiv preprint arXiv:0809, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00323319

M. A. Chughtai and N. Khattak, An Edge Preserving Locally Adaptive Anti-aliasing Zooming Algorithm with Diffused Interpolation, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006.
DOI : 10.1109/CRV.2006.8

I. Cohen, Enhancement of speech using bark-scaled wavelet packet decomposition, Seventh European Conference on Speech Communication and Technology. ISCA, 2001.

I. Cohen, Optimal speech enhancement under signal presence uncertainty using log-spectral amplitude estimator, IEEE Signal Processing Letters, vol.9, issue.4, pp.113-116, 2002.
DOI : 10.1109/97.1001645

I. Cohen, Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging, IEEE Transactions on Speech and Audio Processing, vol.11, issue.5, pp.466-475, 2003.
DOI : 10.1109/TSA.2003.811544

I. Cohen, Speech Enhancement Using a Noncausal A Priori SNR Estimator, IEEE Signal Processing Letters, vol.11, issue.9, pp.725-728, 2004.
DOI : 10.1109/LSP.2004.833478

I. Cohen, Relaxed statistical model for speech enhancement and a priori SNR estimation, IEEE Transactions on Speech and Audio Processing, vol.13, issue.5, pp.870-881, 2005.
DOI : 10.1109/TSA.2005.851940

I. Cohen, Speech enhancement using super-Gaussian speech models and noncausal a priori SNR estimation, Speech Communication, vol.47, issue.3, pp.336-350, 2005.
DOI : 10.1016/j.specom.2005.02.011

I. Cohen, Speech spectral modeling and enhancement based on autoregressive conditional heteroscedasticity models, Signal Processing, vol.86, issue.4, pp.698-709, 2006.
DOI : 10.1016/j.sigpro.2005.06.005

I. Cohen and B. Berdugo, Speech enhancement for non-stationary noise environments, Signal Processing, vol.81, issue.11, pp.2403-2418, 2001.
DOI : 10.1016/S0165-1684(01)00128-1

R. R. Coifman and D. L. Donoho, Translation-Invariant De-Noising, Wavelet and Statistics Lecture Notes in Statistics, pp.125-150, 1995.
DOI : 10.1007/978-1-4612-2544-7_9

D. Comaniciu and P. Meer, Mean Shift: A Robust Approach Toward Feature Space Analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, pp.603-619, 2002.

T. H. Corman, C. E. Leiserson, R. L. Rivest, and C. Stein, Introduction to algorithms, 1990.

T. B. Cour, F. Benezit, and J. Shi, Spectral Segmentation with Multiscale Graph Decomposition, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.332

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering, IEEE Transactions on Image Processing, vol.16, issue.8, p.2080, 2007.
DOI : 10.1109/TIP.2007.901238

G. Davis, S. Mallat, and M. Avellaneda, Adaptive greedy approximations. Constructive approximation, pp.57-98, 1997.

A. Desolneux, L. Moisan, and J. Morel, Computational gestalts and perception thresholds, Journal of Physiology-Paris, vol.97, issue.2-3, pp.311-322, 2003.
DOI : 10.1016/j.jphysparis.2003.09.006
URL : https://hal.archives-ouvertes.fr/hal-00259061

A. Desolneux, L. Moisan, and J. Morel, A grouping principle and four applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.4, pp.508-513, 2003.
DOI : 10.1109/TPAMI.2003.1190576
URL : https://hal.archives-ouvertes.fr/hal-00170783

A. Desolneux, L. Moisan, and J. Morel, Gestalt Theory and Image Analysis, a Probabilistic Approach, Interdisciplinary Applied Mathematics series, 2007.

D. L. Donoho and J. M. Johnstone, Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol.81, issue.3, pp.425-455, 1994.
DOI : 10.1093/biomet/81.3.425

M. Elad and D. Datsenko, Example-based regularization deployed to super-resolution reconstruction of a single image, The Computer Journal, 2007.

M. Elad, J. L. Starck, P. Querre, and D. L. Donoho, Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA), Applied and Computational Harmonic Analysis, vol.19, issue.3, pp.340-358, 2005.
DOI : 10.1016/j.acha.2005.03.005

Y. Ephraim and I. Cohen, Recent advancements in speech enhancement. The Electrical Engineering Handbook, pp.15-27

Y. Ephraim, H. Lev-ari, and W. J. Roberts, A brief survey of speech enhancement. The Electrical Engineering Handbook, 2005.

Y. Ephraim and D. Malah, Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.32, issue.6, pp.1109-1121, 1984.
DOI : 10.1109/TASSP.1984.1164453

Y. Ephraim and D. Malah, Speech enhancement using a minimum mean-square error log-spectral amplitude estimator, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.33, issue.2, pp.33443-445, 1985.
DOI : 10.1109/TASSP.1985.1164550

Y. Ephraim and . Van-trees, A signal subspace approach for speech enhancement, IEEE Transactions on Speech and Audio Processing, vol.3, issue.4, pp.251-266, 1995.
DOI : 10.1109/89.397090

A. Desolneux, P. Mus, F. Cao, J. Delon, and F. Sur, A unified framework for detecting groups and application to shape recognition, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00000360

M. J. Fadili, J. L. Starck, and F. Murtagh, Inpainting and Zooming Using Sparse Representations. The Computer Journal, 2007.
DOI : 10.1093/comjnl/bxm055
URL : https://hal.archives-ouvertes.fr/hal-00091746

Q. Fan, K. Barnard, A. Amir, A. Efrat, and M. Lin, Matching slides to presentation videos using SIFT and scene background matching, Proceedings of the 8th ACM international workshop on Multimedia information retrieval , MIR '06, pp.239-248, 2006.
DOI : 10.1145/1178677.1178710

O. Farooq and S. Datta, Wavelet-based denoising for robust feature extraction for speech recognition, Electronics Letters, vol.39, issue.1, pp.163-165, 2003.
DOI : 10.1049/el:20030068

S. Farsiu, D. Robinson, M. Elad, P. Milanfar, C. Univ et al., Advances and challenges in super-resolution, International Journal of Imaging Systems and Technology, vol.19, issue.2, pp.47-57, 2004.
DOI : 10.1002/ima.20007

O. Faugeras, Three-Dimensional Computer Vision: A Geometric Viewpoint, 1993.

O. Faugeras, F. Grimbert, and J. J. Slotine, Stability and synchronization in neural fields, S.I.A.M. Journal on Applied Mathematics, issue.8, p.68, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00153052

]. L. Février, A wide-baseline matching library for Zeno, 2007.

D. J. Field, A. Hayes, and R. F. Hess, Contour integration by the human visual system: Evidence for a local ???association field???, Vision Research, vol.33, issue.2, pp.173-193, 1993.
DOI : 10.1016/0042-6989(93)90156-Q

R. Fitzhugh, Impulses and Physiological States in Theoretical Models of Nerve Membrane, Biophysical Journal, vol.1, issue.6, pp.445-466, 1961.
DOI : 10.1016/S0006-3495(61)86902-6

J. J. Foo and R. Sinha, Pruning SIFT for scalable near-duplicate image matching, Proceedings of the Eighteenth Conference on Australasian Database, pp.63-71, 2007.

W. T. Freeman, T. R. Jones, and E. C. Pasztor, Example-based super-resolution, IEEE Computer Graphics and Applications, vol.22, issue.2, pp.56-65, 2002.
DOI : 10.1109/38.988747

G. Fritz, C. Seifert, M. Kumar, and L. Paletta, Building Detection from Mobile Imagery Using Informative SIFT Descriptors, Lecture Notes in Computer Science, pp.629-638
DOI : 10.1007/11499145_64

J. J. Fuchs, On Sparse Representations in Arbitrary Redundant Bases, IEEE Transactions on Information Theory, vol.50, issue.6, pp.1341-1344, 2004.
DOI : 10.1109/TIT.2004.828141

K. Fukunaga and L. Hostetler, The estimation of the gradient of a density function, with applications in pattern recognition. Information Theory, IEEE Transactions on, vol.21, issue.1, pp.32-40, 1975.

J. S. Garofolo, Getting started with the DARPA TIMIT CD-ROM: An acoustic phonetic continuous speech database, 1988.

C. Gasquet and P. Witomski, Fourier Analysis and Applications: Filtering, Numerical Computation, Wavelets, 1999.
DOI : 10.1007/978-1-4612-1598-1
URL : https://hal.archives-ouvertes.fr/hal-00388423

S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images, Readings in Computer Vision: Issues, Problems, Principles, and Paradigms, pp.564-584, 1987.

L. Gerard and J. J. Slotine, Neuronal networks and controlled symmetries

E. P. Ghael, A. M. Sayeed, and R. G. Baraniuk, Improved wavelet denoising via empirical Wiener filtering, Proceedings of SPIE, 1997.

Y. Ghanbari and M. R. Karami-mollaei, A new approach for speech enhancement based on the adaptive thresholding of the wavelet packets, Speech Communication, vol.48, issue.8, pp.927-940, 2006.
DOI : 10.1016/j.specom.2005.12.002

I. Gordon and D. G. Lowe, What and Where: 3D Object Recognition with Accurate Pose, Lecture Notes in Computer Science, vol.4170, p.67, 2006.
DOI : 10.1007/11957959_4

L. Grady, Space-Variant Computer Vision: A Graph-Theoretic Approach, 2004.

O. G. Guleryuz, Nonlinear Approximation Based Image Recovery Using Adaptive Sparse Reconstructions and Iterated DenoisingPart I: Theory. Image Processing, IEEE Transactions on, vol.15, issue.3, pp.539-554, 2006.

P. Hall, G. Kerkyacharian, and D. Picard, Block threshold rules for curve estimation using kernel and wavelet methods, The Annals of Statistics, vol.26, issue.3, pp.922-942, 1998.
DOI : 10.1214/aos/1024691082

P. Hall, G. Kerkyacharian, and D. Picard, A note on the wavelet oracle, Statistics & Probability Letters, vol.43, issue.4, pp.415-420, 1999.
DOI : 10.1016/S0167-7152(98)00282-X

P. Hall, G. Kerkyacharian, and D. Picard, On the minimax optimality of block thresholded wavelet estimators, Statistica Sinica, vol.9, pp.33-50, 1999.

J. S. Hare and P. H. Lewis, Salient Regions for Query by Image Content, Image and Video Retrieval: Third International Conference, CIVR, pp.317-325, 2004.
DOI : 10.1007/978-3-540-27814-6_39

R. F. Hess, A. Hayes, and D. Field, Contour integration and cortical processing, Journal of Physiology-Paris, vol.97, issue.2-3, pp.105-119, 2003.
DOI : 10.1016/j.jphysparis.2003.09.013

Y. Hu and P. Loizou, Incorporating a Psychoacoustical Model in Frequency Domain Speech Enhancement, IEEE Signal Processing Letters, vol.11, issue.2, pp.270-273, 2004.
DOI : 10.1109/LSP.2003.821714

M. T. Johnson, X. Yuan, and Y. Ren, Speech signal enhancement through adaptive wavelet thresholding, Speech Communication, vol.49, issue.2, pp.123-133, 2007.
DOI : 10.1016/j.specom.2006.12.002

K. Mikolajczyk and C. Schmid, Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004.
DOI : 10.1023/B:VISI.0000027790.02288.f2
URL : https://hal.archives-ouvertes.fr/inria-00548554

T. Kadir, A. Zisserman, and M. Brady, An Affine Invariant Salient Region Detector, European Conference on Computer Vision, pp.228-241, 2004.
DOI : 10.1007/978-3-540-24670-1_18

G. Kanizsa, Organization in Vision: Essays on Gestalt Perception, 1979.

G. Kanizsa, Grammatica del Vedere, Il Mulino Traduction française: La grammaire du voir, Diderot Editeur, Arts et Sciences, 1980.

Y. Ke and R. Sukthankar, PCA-SIFT: A more distinctive representation for local image descriptors, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, pp.506-513, 2004.

J. Kim, S. M. Seitz, and M. Agrawala, Video-based document tracking, Proceedings of the 17th annual ACM symposium on User interface software and technology , UIST '04, pp.99-107, 2004.
DOI : 10.1145/1029632.1029650

N. S. Kim and J. H. Chang, Spectral enhancement based on global soft decision, IEEE Signal processing letters, vol.7, issue.5, pp.108-110, 2000.

M. Kuzmina, E. Manykin, and I. Surina, Tunable Oscillatory Network for Visual Image Segmentation, Proc. of ICANN, pp.1013-1019, 2001.
DOI : 10.1007/3-540-44668-0_140

M. Kuzmina, E. Manykin, and I. Surina, Oscillatory network with self-organized dynamical connections for synchronization-based image segmentation, Biosystems, vol.76, issue.1-3, pp.43-53, 2004.
DOI : 10.1016/j.biosystems.2004.05.005

L. Pennec and S. Mallat, Bandelet Image Approximation and Compression, Multiscale Modeling & Simulation, vol.4, issue.3, pp.992-1039, 2005.
DOI : 10.1137/040619454

E. , L. Pennec, and S. Mallat, Sparse geometric image representations with bandelets, Image Processing IEEE Transactions on, vol.14, issue.4, pp.423-438, 2005.

B. N. Lee, W. Y. Chen, and E. Y. Chang, Fotofiti, Proceedings of the 14th annual ACM international conference on Multimedia , MULTIMEDIA '06, pp.485-486, 2006.
DOI : 10.1145/1180639.1180737

T. S. Lee, Computations in the early visual cortex, Journal of Physiology-Paris, vol.97, issue.2-3, pp.121-139, 2003.
DOI : 10.1016/j.jphysparis.2003.09.015

S. F. Lei and Y. K. Tung, Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation, Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on, pp.41-44, 2005.

]. H. Lejsek, F. H. Asmundsson, B. T. Jónsson, and L. Amsaleg, Scalability of local image descriptors, Proceedings of the 14th annual ACM international conference on Multimedia , MULTIMEDIA '06, pp.589-598, 2006.
DOI : 10.1145/1180639.1180760
URL : https://hal.archives-ouvertes.fr/inria-00175234

M. Li, H. G. Mcallister, N. D. Black, T. A. De, and . Perez, Perceptual time-frequency subtraction algorithm for noise reductionin hearing aids, IEEE Transactions on Biomedical Engineering, vol.48, issue.9, pp.979-988, 2001.

X. Li and M. T. Orchard, New edge-directed interpolation, Image Processing IEEE Transactions on, vol.10, issue.10, pp.1521-1527, 2001.

Z. Li, A Neural Model of Contour Integration in the Primary Visual Cortex, Neural Computation, vol.15, issue.4, pp.903-940, 1998.
DOI : 10.1162/neco.1989.1.1.68

Z. Li, Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex, Network: Computation in Neural Systems, vol.10, issue.2, pp.187-212, 1999.
DOI : 10.1088/0954-898X_10_2_305

Z. Li, Pre-attentive segmentation in the primary visual cortex, Spatial Vision, vol.13, issue.1, pp.25-50, 2000.
DOI : 10.1163/156856800741009

Z. Li, Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex*, Neural Computation, vol.16, issue.11, pp.1749-1780, 2001.
DOI : 10.1162/neco.1989.1.1.68

J. Lim and A. Oppenheim, Enhancement and bandwidth compression of noisy speech, Proceedings of the IEEE, pp.1586-1604, 1979.
DOI : 10.1109/PROC.1979.11540

T. Lindeberg, Scale-space theory: a basic tool for analyzing structures at different scales, Journal of Applied Statistics, vol.21, issue.1, pp.225-270, 1994.
DOI : 10.1080/757582976

T. Lindeberg and J. Garding, Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D brightness structure, Proc. ECCV, pp.389-400, 1994.
DOI : 10.1007/3-540-57956-7_42

T. Lindeberg and J. Gårding, Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure, Image and Vision Computing, vol.15, issue.6, pp.415-434, 1997.
DOI : 10.1016/S0262-8856(97)01144-X

H. Ling and D. W. Jacobs, Deformation invariant image matching, Proc. ICCV, pp.1466-1473, 2005.

H. Ling and K. Okada, Diffusion Distance for Histogram Comparison, Proc. CVPR, pp.246-253, 2006.

X. Liu and D. L. Wang, Range image segmentation using a relaxation oscillator network, Neural Networks IEEE Transactions on, vol.10, issue.3, pp.564-573, 1999.

D. G. Lowe, SIFT Keypoint Detector: online demo http

D. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999.
DOI : 10.1109/ICCV.1999.790410
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.4065

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

G. Loy and J. O. Eklundh, Detecting Symmetry and Symmetric Constellations of Features, Proceedings of ECCV, pp.508-521, 2006.
DOI : 10.1006/ciun.1993.1037

C. T. Lu and H. C. Wang, Enhancement of single channel speech based on masking property and wavelet transform, Speech Communication, vol.41, issue.2-3, pp.409-427, 2003.
DOI : 10.1016/S0167-6393(03)00011-6

C. T. Lu and H. C. Wang, Speech enhancement using perceptually-constrained gain factors in critical-band-wavelet-packet transform, Electronics Letters, vol.40, issue.6, pp.394-396, 2004.
DOI : 10.1049/el:20040266

J. Mairal, M. Elad, and G. Sapiro, Sparse Representation for Color Image Restoration, IEEE Transactions on Image Processing, vol.17, issue.1, p.53, 2008.
DOI : 10.1109/TIP.2007.911828

D. Malah, A. Cox, and . Accardi, Tracking speech-presence uncertainty to improve speech enhancementin non-stationary noise environments, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1999.

F. Malgouyres and F. Guichard, Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis, SIAM Journal on Numerical Analysis, vol.39, issue.1, pp.1-37, 2002.
DOI : 10.1137/S0036142999362286

S. Mallat, A Wavelet Tour of Signal Processing: The Sparse Way, 2008.

S. Mallat, Geometrical grouplets Applied and Computational Harmonic Analysis, 2008.

S. Mallat and G. Peyré, A review of Bandlet methods for geometrical image representation, Numerical Algorithms, vol.15, issue.5, pp.205-234, 2007.
DOI : 10.1007/s11075-007-9092-4
URL : https://hal.archives-ouvertes.fr/hal-00359744

S. Mallat and G. Peyre, Orthogonal bandelet bases for geometric image approximation, Comm. Pure Appl. Math, vol.61, issue.9, pp.1173-1212, 2008.

S. Mallat and G. Yu, Structured space pursuits for geometric super-Resolution, Invited paper, 2009.

S. Mallat and Z. Zhang, Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, vol.41, issue.12, pp.3397-3415, 1993.
DOI : 10.1109/78.258082

R. Martin, Noise power spectral density estimation based on optimal smoothing and minimum statistics, IEEE Transactions on Speech and Audio Processing, vol.9, issue.5, pp.504-512, 2001.
DOI : 10.1109/89.928915

R. Martin, Speech enhancement using MMSE short time spectral estimation with gamma distributed speech priors, Proc. IEEE International Conference on Acoustics , Speech, and Signal Processing (ICASSP), 2002.

S. Masnou and J. M. , Level lines based disocclusion, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), pp.259-263, 1998.
DOI : 10.1109/ICIP.1998.999016

J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust wide-baseline stereo from maximally stable extremal regions, Image and Vision Computing, vol.22, issue.10, pp.761-767, 2004.
DOI : 10.1016/j.imavis.2004.02.006

J. Matas, O. Chum, M. Urban, and T. Pajdla, Wbs image matcher: online demo http

G. Matz and F. Hlawatsch, Minimax robust nonstationary signal estimation based on a p-point uncertainty model, Journal of the Franklin Institute, vol.337, issue.4, pp.403-419, 2000.
DOI : 10.1016/S0016-0032(00)00027-2

G. Matz, F. Hlawatsch, and A. , Signal-adaptive robust time-varying Wiener filters: best subspace selection and statistical analysis, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2001.
DOI : 10.1109/ICASSP.2001.940707
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.6791

R. Mcaulay and M. Malpass, Speech enhancement using a soft-decision noise suppression filter, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.28, issue.2, pp.137-145, 1980.
DOI : 10.1109/TASSP.1980.1163394

W. Metzger, Laws of seeing, 2006.

Y. Meyer, Wavelets and operators, 1992.

C. A. Micchelli, Interpolation of scattered data: Distance matrices and conditionally positive definite functions, Constructive Approximation, issue.2, pp.11-22, 1986.

K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.525-531, 2001.
DOI : 10.1109/ICCV.2001.937561
URL : https://hal.archives-ouvertes.fr/inria-00548276

K. Mikolajczyk and C. Schmid, An Affine Invariant Interest Point Detector, Proc. ECCV, pp.128-142, 2002.
DOI : 10.1007/3-540-47969-4_9
URL : https://hal.archives-ouvertes.fr/inria-00548252

K. Mikolajczyk and C. Schmid, A Performance Evaluation of Local Descriptors, International Conference on Computer Vision and Pattern Recognition, pp.257-263, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548227

K. Mikolajczyk and C. Schmid, A Performance Evaluation of Local Descriptors, IEEE Trans. PAMI, pp.1615-1630, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548227

K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas et al., A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, pp.43-72, 2005.
DOI : 10.1007/s11263-005-3848-x
URL : https://hal.archives-ouvertes.fr/inria-00548528

P. Monasse, Contrast invariant registration of images, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), pp.3221-3224, 1999.
DOI : 10.1109/ICASSP.1999.757527

P. Moreels and P. Perona, Common-frame model for object recognition, Neural Information Processing Systems, 2004.

P. Moreels and P. Perona, Evaluation of Features Detectors and Descriptors based on 3D Objects, International Journal of Computer Vision, vol.59, issue.1, pp.263-284, 2007.
DOI : 10.1007/s11263-006-9967-1

J. M. Morel and S. Solimini, Variational methods in image segmentation, Progress in Nonlinear Differential Equations and their Applications, 1995.
DOI : 10.1007/978-1-4684-0567-5

J. M. Morel and G. Yu, On the consistency of the SIFT method, Inverse Problems and Imaging (IPI), 2008.

J. M. Morel and G. Yu, ASIFT: A New Framework for Fully Affine Invariant Image Comparison, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.438-469, 2009.
DOI : 10.1137/080732730

N. Mueller, Y. Lu, and M. N. Do, Image interpolation using multiscale geometric representations, Computational Imaging V, p.64980, 2007.
DOI : 10.1117/12.714510

D. Mumford and J. Shah, Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577-685, 1989.
DOI : 10.1002/cpa.3160420503
URL : http://nrs.harvard.edu/urn-3:HUL.InstRepos:3637121

A. Murarka, J. Modayil, and B. Kuipers, Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006.
DOI : 10.1109/CRV.2006.20

P. Musé, F. Sur, F. Cao, and Y. Gousseau, Unsupervised thresholds for shape matching, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), pp.647-650
DOI : 10.1109/ICIP.2003.1246763

P. Musé, F. Sur, F. Cao, Y. Gousseau, and J. M. , An A Contrario Decision Method for Shape Element Recognition, International Journal of Computer Vision, vol.21, issue.11, pp.295-315, 2006.
DOI : 10.1007/s11263-006-7546-0

J. Nagumo, S. Arimoto, and S. Yoshizawa, An Active Pulse Transmission Line Simulating Nerve Axon, Proceedings of the IRE, pp.2061-2070, 1962.
DOI : 10.1109/JRPROC.1962.288235

A. Negre, H. Tran, N. Gourier, D. Hall, A. Lux et al., Comparative Study of People Detection in Surveillance Scenes, Proceedings Lecture Notes in Computer Science, vol.4109, pp.100-108, 2006.
DOI : 10.1007/11815921_10

D. Nister and H. Stewenius, Scalable Recognition with a Vocabulary Tree, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2161-2168, 2006.
DOI : 10.1109/CVPR.2006.264

E. Olson, M. Walter, J. Leonard, and S. Teller, Single-Cluster Spectral Graph Partitioning for Robotics Applications, Robotics: Science and Systems I, pp.265-272, 2005.
DOI : 10.15607/RSS.2005.I.035

P. Perona and W. Freeman, A factorization approach to grouping, European Conference on Computer Vision, pp.655-670, 1998.
DOI : 10.1007/BFb0055696

Q. C. Pham and J. J. Slotine, Stable concurrent synchronization in dynamic system networks, Neural Networks, vol.20, issue.1, pp.62-77, 2007.
DOI : 10.1016/j.neunet.2006.07.008

U. Polat and D. Sagi, Lateral interactions between spatial channels: Suppression and facilitation revealed by lateral masking experiments, Vision Research, vol.33, issue.7, pp.993-999, 1992.
DOI : 10.1016/0042-6989(93)90081-7

D. Pritchard and W. Heidrich, Cloth Motion Capture, Computer Graphics Forum, vol.21, issue.3, pp.263-271, 2003.
DOI : 10.1109/34.206955

S. R. Quackenbush, Objective measures of speech quality, 1995.

J. Rabin, Y. Gousseau, and J. Delon, A contrario matching of local descriptors, Ecole Nationale Supérieure des Télécommunications, 2007.

F. Riggi, M. Toews, and T. Arbel, Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters, 18th International Conference on Pattern Recognition (ICPR'06), pp.21-24, 2006.
DOI : 10.1109/ICPR.2006.588

J. Ruiz-del-solar, P. Loncomilla, and C. Devia, A New Approach for Fingerprint Verification Based on Wide Baseline Matching Using Local Interest Points and Descriptors, Lecture Notes in Computer Science, vol.4872, p.586, 2007.
DOI : 10.1007/978-3-540-77129-6_51

F. Schaffalitzky and A. Zisserman, Multi-view Matching for Unordered Image Sets, or ???How Do I Organize My Holiday Snaps????, Proc. ECCV, pp.414-431, 2002.
DOI : 10.1007/3-540-47969-4_28

P. Scovanner, S. Ali, and M. Shah, A 3-dimensional sift descriptor and its application to action recognition, Proceedings of the 15th international conference on Multimedia , MULTIMEDIA '07, pp.357-360, 2007.
DOI : 10.1145/1291233.1291311

S. Se, D. Lowe, and J. Little, Vision-based mobile robot localization and mapping using scale-invariant features, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 2001.
DOI : 10.1109/ROBOT.2001.932909

J. W. Seok and K. S. Bae, Speech enhancement with reduction of noise components in the wavelet domain, IEEE International Conference on Acoustics, Speech, and Signal Processing, p.97, 1997.

T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio, Robust Object Recognition with Cortex-Like Mechanisms, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.3, p.411, 2007.
DOI : 10.1109/TPAMI.2007.56

Y. Shao and C. H. Chang, A Generalized Time–Frequency Subtraction Method for Robust Speech Enhancement Based on Wavelet Filter Banks Modeling of Human Auditory System, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.37, issue.4, pp.877-889, 2007.
DOI : 10.1109/TSMCB.2007.895365

J. Shi and J. Malik, Normalized Cuts and Image Segmentation. IEEE Transaction On Pattern Analysis and Machine Intelligence, pp.888-905, 2000.

W. Singer and C. M. Gray, Visual Feature Integration and the Temporal Correlation Hypothesis, Annual Review of Neuroscience, vol.18, issue.1, pp.555-586, 1995.
DOI : 10.1146/annurev.ne.18.030195.003011

S. Sinha, J. M. Frahm, and M. Pollefeys, GPU-based Video Feature Tracking and Matching, workshop on Edge Computing Using New Commodity Architectures, 2006.

N. Snavely, S. M. Seitz, and R. Szeliski, Photo tourism, ACM Transactions on Graphics, vol.25, issue.3, pp.835-846, 2006.
DOI : 10.1145/1141911.1141964

K. V. Sørensen, Speech Enhancement with Natural Sounding Residual Noise Based on Connected Time-Frequency Speech Presence Regions, EURASIP Journal on Advances in Signal Processing, vol.2005, issue.18, pp.2954-2964, 2005.
DOI : 10.1155/ASP.2005.2954

J. L. Starck, E. J. Candès, and D. L. Donoho, The curvelet transform for image denoising, IEEE Transactions on Image Processing, vol.11, issue.6, pp.670-684, 2002.
DOI : 10.1109/TIP.2002.1014998

C. M. Stein, Estimation of the mean of a multivariate normal distribution. The Annals of Statistics, pp.1135-1151, 1981.

D. Terman and D. L. Wang, Global competition and local cooperation in a network of neural oscillators, Physica D: Nonlinear Phenomena, vol.81, issue.1-2, pp.148-176, 1995.
DOI : 10.1016/0167-2789(94)00205-5

P. Thevenaz, T. Blu, and M. Unser, Interpolation revisited [medical images application] . Medical Imaging, IEEE Transactions on, vol.19, issue.7, pp.739-758, 2000.
DOI : 10.1109/42.875199

H. Tolba, A time-space adapted wavelet de-noising algorithm for robust automatic speech recognition in low-SNR environments, 2003 46th Midwest Symposium on Circuits and Systems, 2003.
DOI : 10.1109/MWSCAS.2003.1562281

J. A. Tropp, Greed is good: algorithmic results for sparse approximation. Information Theory, IEEE Transactions on, vol.50, issue.10, pp.2231-2242, 2004.

T. Tuytelaars and L. Van-gool, Content-Based Image Retrieval Based on Local Affinely Invariant Regions, Int. Conf. on Visual Information Systems, pp.493-500, 1999.
DOI : 10.1007/3-540-48762-X_61

T. Tuytelaars and L. Van-gool, Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions, Procedings of the British Machine Vision Conference 2000, pp.412-425, 2000.
DOI : 10.5244/C.14.38

T. Tuytelaars and L. Van-gool, Matching Widely Separated Views Based on Affine Invariant Regions, International Journal of Computer Vision, vol.59, issue.1, pp.61-85, 2004.
DOI : 10.1023/B:VISI.0000020671.28016.e8

S. Ullman and A. Shashua, Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network, ICCV, 1988.

L. Vacchetti, V. Lepetit, and P. Fua, Stable real-time 3D tracking using online and offline information, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.10, pp.1385-1391, 2004.
DOI : 10.1109/TPAMI.2004.92

L. J. Van-gool, T. Moons, and D. Ungureanu, Affine / photometric invariants for planar intensity patterns, Proceedings of the 4th European Conference on Computer Vision-Volume I-Volume I, pp.642-651, 1996.
DOI : 10.1007/BFb0015574

V. Velisavljevic and R. Coquoz, Image interpolation with directionlets, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.837-840, 2008.
DOI : 10.1109/ICASSP.2008.4517740

M. Veloso, F. Von-hundelshausen, and P. Rybski, Learning visual object definitions by observing human activities, 5th IEEE-RAS International Conference on Humanoid Robots, 2005., pp.148-153, 2005.
DOI : 10.1109/ICHR.2005.1573560

M. Vergauwen and L. Van-gool, Web-based 3D Reconstruction Service, Machine Vision and Applications, pp.411-426, 2005.
DOI : 10.1007/s00138-006-0027-1

P. Viola and M. J. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2004.
DOI : 10.1023/B:VISI.0000013087.49260.fb

J. S. Walker and Y. J. Chen, Denoising Gabor Transforms

D. L. Wang, The Time Dimension for Scene Analysis, IEEE Transactions on Neural Networks, vol.16, issue.6, pp.1401-1426, 2005.
DOI : 10.1109/TNN.2005.852235

D. L. Wang and G. J. Brown, Separation of speech from interfering sounds based on oscillatory correlation, IEEE Transactions on Neural Networks, vol.10, issue.3, pp.684-697, 1999.
DOI : 10.1109/72.761727

D. L. Wang and P. Chang, An oscillatory correlation model of auditory streaming, Cognitive Neurodynamics, vol.15, issue.1, pp.7-19, 2008.
DOI : 10.1007/s11571-007-9035-8

D. L. Wang and D. Terman, LEGION: locally excitatory globally inhibitory oscillator networks, Scholarpedia, vol.1, issue.9, pp.283-286, 1995.
DOI : 10.4249/scholarpedia.1620

D. L. Wang and D. Terman, Image Segmentation Based on Oscillatory Correlation, Neural Computation, vol.263, issue.3, pp.805-836, 1997.
DOI : 10.1016/S0146-664X(76)80014-7

Q. Wang and R. Ward, A New Orientation-Adaptive Interpolation Method, IEEE Transactions on Image Processing, vol.16, issue.4, pp.889-900, 2007.
DOI : 10.1109/TIP.2007.891794

W. Wang and J. J. Slotine, On partial contraction analysis for coupled nonlinear oscillators, Biological Cybernetics, vol.92, issue.1, pp.38-53, 2005.
DOI : 10.1007/s00422-004-0527-x

W. Wang and J. J. Slotine, Contraction Analysis of Time-Delayed Communications and Group Cooperation, IEEE Transactions on Automatic Control, vol.51, issue.4, pp.712-717, 2006.
DOI : 10.1109/TAC.2006.872761

R. J. Watt and W. A. Phillips, The function of dynamic grouping in vision, Trends in Cognitive Sciences, vol.4, issue.12, pp.447-454, 2000.
DOI : 10.1016/S1364-6613(00)01553-9

M. Wertheimer, Untersuchungen zur Lehre von der Gestalt. II, Psychologische Forschung, vol.4, issue.1, pp.301-350, 1923.
DOI : 10.1007/BF00410640

P. Wolfe and S. Godsill, Simple alternatives to the Ephraim and Malah suppression rule forspeech enhancement, Statistical Signal Processing Proceedings of the 11th IEEE Signal Processing Workshop on, pp.496-499, 2001.

K. Yanai, Image collector III, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.1295-1296, 2007.
DOI : 10.1145/1242572.1242816

G. Yang, M. Stewart, C. Sofka, and . Tsai, Alignment of challenging image pairs: Refinement and region growing starting from a single keypoint correspondence, IEEE Trans. Pattern Anal. Machine Intell, 2007.

J. Yang, Frequency domain noise suppression approaches in mobile telephonesystems, IEEE International Conference on Acoustics, Speech, and Signal Processing, p.93, 1993.

J. Yao and W. K. Cham, Robust multi-view feature matching from multiple unordered views, Pattern Recognition, vol.40, issue.11, pp.3081-3099, 2007.
DOI : 10.1016/j.patcog.2007.02.011

S. C. Yen and L. H. , Extraction of perceptually salient contours by striate cortical networks, Vision Research, vol.38, issue.5, pp.719-741, 1998.
DOI : 10.1016/S0042-6989(97)00197-1

G. Yu and S. Mallat, Sparse Super-Resolution with Space Matching Pursuits, Proc. SPARS'09, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00369620

G. Yu, S. Mallat, and E. Bacry, Audio Denoising by Time-Frequency Block Thresholding, IEEE Transactions on Signal Processing, vol.56, issue.5, pp.1830-1839, 2008.
DOI : 10.1109/TSP.2007.912893

G. Yu and J. M. , A fully affine invariant image comparison method, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
DOI : 10.1109/ICASSP.2009.4959904

G. Yu and J. J. Slotine, Fast Wavelet-Based Visual Classification, Proc. IEEE Int. Conference on Pattern Recognition (ICPR), 2008.

G. Yu and J. J. Slotine, Audio classification from time-frequency texture, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
DOI : 10.1109/ICASSP.2009.4959924

G. Yu and J. J. Slotine, Visual grouping by neural oscillators. accepted to IEEE Trans, 2009.

G. Yu and J. J. Slotine, Visual grouping by neural oscillators, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
DOI : 10.1109/ICASSP.2009.4959808