| Intrinsic cramér–rao bounds for scatter and shape matrices estimation in ces distributions A Breloy, G Ginolhac, A Renaux, F Bouchard IEEE Signal Processing Letters 26 (2), 262-266, 2018 | 28 | 2018 |
| Riemannian optimization and approximate joint diagonalization for blind source separation F Bouchard, J Malick, M Congedo IEEE Transactions on Signal Processing 66 (8), 2041-2054, 2018 | 23 | 2018 |
| Dimensionality Reduction for BCI classification using Riemannian geometry PLC Rodrigues, F Bouchard, M Congedo, C Jutten BCI 2017-7th International Brain-Computer Interface Conference, 2017 | 19 | 2017 |
| Approximate joint diagonalization with Riemannian optimization on the general linear group F Bouchard, B Afsari, J Malick, M Congedo SIAM Journal on Matrix Analysis and Applications 41 (1), 152-170, 2020 | 15 | 2020 |
| A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices M Congedo, PLC Rodrigues, F Bouchard, A Barachant, C Jutten 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 14 | 2017 |
| Random matrix improved covariance estimation for a large class of metrics M Tiomoko, R Couillet, F Bouchard, G Ginolhac International Conference on Machine Learning, 6254-6263, 2019 | 13 | 2019 |
| A Riemannian framework for low-rank structured elliptical models F Bouchard, A Breloy, G Ginolhac, A Renaux, F Pascal IEEE Transactions on Signal Processing 69, 1185-1199, 2021 | 10 | 2021 |
| Riemannian geometry for compound Gaussian distributions: Application to recursive change detection F Bouchard, A Mian, J Zhou, S Said, G Ginolhac, Y Berthoumieu Signal Processing 176, 107716, 2020 | 8 | 2020 |
| Approximate joint diagonalization according to the natural Riemannian distance F Bouchard, J Malick, M Congedo Latent Variable Analysis and Signal Separation: 13th International …, 2017 | 6 | 2017 |
| Approximate joint diagonalization within the Riemannian geometry framework F Bouchard, L Korczowski, J Malick, M Congedo 2016 24th European Signal Processing Conference (EUSIPCO), 210-214, 2016 | 6 | 2016 |
| Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering A Collas, F Bouchard, A Breloy, G Ginolhac, C Ren, JP Ovarlez IEEE Transactions on Signal Processing 69, 6546-6560, 2021 | 5 | 2021 |
| Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sources F Bouchard, A Breloy, A Renaux, G Ginolhac ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| Mining the bilinear structure of data with approximate joint diagonalization L Korczowski, F Bouchard, C Jutten, M Congedo 2016 24th European Signal Processing Conference (EUSIPCO), 667-671, 2016 | 5 | 2016 |
| On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems A Collas, F Bouchard, G Ginolhac, A Breloy, C Ren, JP Ovarlez ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| A Tyler-type estimator of location and scatter leveraging Riemannian optimization A Collas, F Bouchard, A Breloy, C Ren, G Ginolhac, JP Ovarlez ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 4 | 2021 |
| Riemannian framework for robust covariance matrix estimation in spiked models F Bouchard, A Breloy, G Ginolhac, F Pascal ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data F Bouchard, A Breloy, A Mian, G Ginolhac 2021 29th European Signal Processing Conference (EUSIPCO), 856-859, 2021 | 1 | 2021 |
| Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machine PLC Rodrigues, F Bouchard, M Congedo, C Jutten GRETSI 2017-XXVIème Colloque francophone de traitement du signal et des images, 2017 | 1 | 2017 |
| Réduction de dimension pour la Séparation Aveugle de Sources F Bouchard, PLC Rodrigues, J Malick, M Congedo GRETSI 2017-XXVIème Colloque francophone de traitement du signal et des images, 2017 | 1 | 2017 |
| Borne de Cramér-Rao intrinsèque pour la matrice de covariance des distributions elliptiques complexes A Breloy, A Renaux, G Ginolhac, F Bouchard GRETSI 2017-XXVIème Colloque francophone de traitement du signal et des images, 2017 | 1 | 2017 |
