| Sparse regression using mixed norms M Kowalski Applied and Computational Harmonic Analysis 27 (3), 303-324, 2009 | 343 | 2009 |
| Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations A Gramfort, D Strohmeier, J Haueisen, MS Hämäläinen, M Kowalski NeuroImage 70, 410-422, 2013 | 276 | 2013 |
| Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods A Gramfort, M Kowalski, M Hämäläinen Physics in Medicine & Biology 57 (7), 1937, 2012 | 261 | 2012 |
| Sparsity and Persistence: mixed norms provide simple signal models with dependent coefficients, Signal M Kowalski, B Torrésani Signal Image and Video Processing 3 (3), 251-264, 2009 | 183 | 2009 |
| Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators M Kowalski, K Siedenburg, M Dörfler Signal Processing, IEEE Transactions on 61 (10), 2498-2511, 2013 | 126 | 2013 |
| Audio declipping with social sparsity K Siedenburg, M Kowalski, M Dörfler 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 79 | 2014 |
| Beyond the narrowband approximation: Wideband convex methods for under-determined reverberant audio source separation M Kowalski, E Vincent, R Gribonval IEEE Transactions on Audio, Speech, and Language Processing 18 (7), 1818-1829, 2010 | 79 | 2010 |
| Structured sparsity: From mixed norms to structured shrinkage M Kowalski, B Torrésani SPARS'09, 2009 | 67 | 2009 |
| Multiple indefinite kernel learning with mixed norm regularization M Kowalski, M Szafranski, L Ralaivola Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 63 | 2009 |
| Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries A Gramfort, D Strohmeier, J Haueisen, M Hamalainen, M Kowalski Information Processing in Medical Imaging: 22nd International Conference …, 2011 | 59 | 2011 |
| Adapted and adaptive linear time-frequency representations: a synthesis point of view P Balazs, M Dörfler, M Kowalski, B Torrésani IEEE Signal Processing Magazine 30 (6), 20-31, 2013 | 56 | 2013 |
| Convex optimization approach to signals with fast varying instantaneous frequency M Kowalski, A Meynard, H Wu Applied and computational harmonic analysis 44 (1), 89-122, 2018 | 47 | 2018 |
| Improving m/eeg source localizationwith an inter-condition sparse prior A Gramfort, M Kowalski 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 47 | 2009 |
| Thresholding rules and iterative shrinkage/thresholding algorithm: A convergence study M Kowalski 2014 IEEE International Conference on Image Processing (ICIP), 4151-4155, 2014 | 45 | 2014 |
| Underdetermined reverberant blind source separation: Sparse approaches for multiplicative and convolutive narrowband approximation F Feng, M Kowalski IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (2), 442-456, 2018 | 42 | 2018 |
| Random models for sparse signals expansion on unions of bases with application to audio signals M Kowalski, B Torrésani IEEE Transactions on Signal Processing 56 (8), 3468-3481, 2008 | 29 | 2008 |
| Revisiting sparse ICA from a synthesis point of view: Blind Source Separation for over and underdetermined mixtures F Feng, M Kowalski Signal Processing 152, 165-177, 2018 | 25 | 2018 |
| Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution C Laroche, H Papadopoulos, M Kowalski, G Richard 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 22 | 2017 |
| A structured nonnegative matrix factorization for source separation C Laroche, M Kowalski, H Papadopoulos, G Richard 2015 23rd European Signal Processing Conference (EUSIPCO), 2033-2037, 2015 | 20 | 2015 |
| Low-rank time-frequency synthesis C Févotte, M Kowalski Advances in Neural Information Processing Systems 27, 2014 | 19 | 2014 |
Alexandre GramfortMeta在 meta.com 的电子邮件经过验证
