Open Access
Issue |
A&A
Volume 692, December 2024
|
|
---|---|---|
Article Number | A126 | |
Number of page(s) | 20 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202451242 | |
Published online | 06 December 2024 |
- Absil, O., Milli, J., Mawet, D., et al. 2013, A&A, 559, L12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Amara, A., & Quanz, S. P. 2012, MNRASS, 427, 948 [NASA ADS] [CrossRef] [Google Scholar]
- Beuzit, J.-L., Vigan, A., Mouillet, D., et al. 2019, A&A, 631, A155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bonse, M. J., Garvin, E. O., Gebhard, T. D., et al. 2023, AJ, 166, 71 [NASA ADS] [CrossRef] [Google Scholar]
- Bowler, B. P. 2016, PASP, 128, 102001 [Google Scholar]
- Cantalloube, F., Mouillet, D., Mugnier, L., et al. 2015, A&A, 582, A89 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Cantalloube, F., Gomez-Gonzalez, C., Absil, O., et al. 2020, in Adaptive Optics Systems VII, 11448, SPIE, 1027 [Google Scholar]
- Cantero, C., Absil, O., Dahlqvist, C.-H., & Van Droogenbroeck, M. 2023, A&A, 680, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Christiaens, V., Gonzalez, C., Farkas, R., et al. 2023, J. Open Source Softw., 8, 4774 [NASA ADS] [CrossRef] [Google Scholar]
- Daglayan, H., Vary, S., Cantalloube, F., Absil, P.-A., & Absil, O. 2022, in 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS), IEEE, 1 [Google Scholar]
- Daglayan, H., Vary, S., & Absil, P.-A. 2023a, in ESANN 2023-European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning [Google Scholar]
- Daglayan, H., Vary, S., Leplat, V., Gillis, N., & Absil, P.-A. 2023b, Proceedings of BNAIC/BeNeLearn 2023, 1 [Google Scholar]
- Dahlqvist, C.-H., Cantalloube, F., & Absil, O. 2020, A&A, 633, A95 [EDP Sciences] [Google Scholar]
- Eckart, C., & Young, G. 1936, Psychometrika, 1, 211 [CrossRef] [Google Scholar]
- Eriksson, A., & Van Den Hengel, A. 2010, in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 771 [Google Scholar]
- Flasseur, O., Denis, L., Thiébaut, É., & Langlois, M. 2018, A&A, 618, A138 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Galicher, R., & Mazoyer, J. 2023, Comptes Rend. Phys., 24, 1 [Google Scholar]
- Gao, J., Kwan, P. W., & Guo, Y. 2009, Neurocomputing, 72, 1242 [CrossRef] [Google Scholar]
- Gillis, N., & Plemmons, R. J. 2011, Opt. Eng., 50, 027001 [NASA ADS] [CrossRef] [Google Scholar]
- Gillis, N., & Vavasis, S. A. 2018, Math. Oper. Res., 43, 1072 [CrossRef] [Google Scholar]
- Gomez Gonzalez, C. A., Absil, O., Absil, P.-A., et al. 2016, A&A, 589, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gomez Gonzalez, C. A., Wertz, O., Absil, O., et al. 2017, AJ, 154, 7 [Google Scholar]
- Gonzalez, C. G., Absil, O., & Van Droogenbroeck, M. 2018, A&A, 613, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Guyon, O. 2018, ARA&A, 56, 315 [Google Scholar]
- Halko, N., Martinsson, P.-G., & Tropp, J. A. 2011, SIAM Rev., 53, 217 [CrossRef] [Google Scholar]
- Juillard, S., Christiaens, V., & Absil, O. 2023, A&A, 679, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ke, Q., & Kanade, T. 2003, Robust subspace computation using L1 norm, Tech. Rep. CMUCS-03-172, Carnegie Mellon University, Pittsburgh, PA [Google Scholar]
- Ke, Q., & Kanade, T. 2005a, in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), 1, 739 [CrossRef] [Google Scholar]
- Ke, Q., & Kanade, T. 2005b, in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), 1, IEEE, 739 [Google Scholar]
- Lafreniere, D., Marois, C., Doyon, R., Nadeau, D., & Artigau, É. 2007, ApJ, 660, 770 [NASA ADS] [CrossRef] [Google Scholar]
- Lagrange, A.-M., Bonnefoy, M., Chauvin, G., et al. 2010, Science, 329, 57 [Google Scholar]
- Macintosh, B., Graham, J. R., Ingraham, P., et al. 2014, PNAS, 111, 12661 [NASA ADS] [CrossRef] [Google Scholar]
- Marois, C., Lafreniere, D., Doyon, R., Macintosh, B., & Nadeau, D. 2006, ApJ, 641, 556 [NASA ADS] [CrossRef] [Google Scholar]
- Marois, C., Macintosh, B., & Véran, J.-P. 2010, in Adaptive Optics Systems II, 7736, SPIE, 595 [Google Scholar]
- Martinache, F., Guyon, O., Lozi, J., et al. 2009, The Subaru coronagraphic extreme AO project [Google Scholar]
- Mawet, D., Milli, J., Wahhaj, Z., et al. 2014, ApJ, 792, 97 [Google Scholar]
- NASA Exoplanet Archive 2024, Planetary Systems [Google Scholar]
- Pairet, B., Cantalloube, F., Gomez Gonzalez, C. A., Absil, O., & Jacques, L. 2019, MNRAS, 487, 2262 [CrossRef] [Google Scholar]
- Pairet, B., Cantalloube, F., & Jacques, L. 2021, MNRAS, 503, 3724 [Google Scholar]
- Ren, B., Pueyo, L., Zhu, G. B., Debes, J., & Duchêne, G. 2018, ApJ, 852, 104 [Google Scholar]
- Ruffio, J.-B., Macintosh, B., Wang, J. J., et al. 2017, ApJ, 842, 14 [Google Scholar]
- Samland, M., Mollière, P., Bonnefoy, M., et al. 2017, A&A, 603, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Song, Z., Woodruff, D. P., & Zhong, P. 2017, in Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 688 [CrossRef] [Google Scholar]
- Soummer, R., Pueyo, L., & Larkin, J. 2012, ApJ, 755, L28 [Google Scholar]
- Stapper, L. M., & Ginski, C. 2022, A&A, 668, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Thompson, W., & Marois, C. 2021, AJ, 161, 236 [NASA ADS] [CrossRef] [Google Scholar]
- Vary, S., Daglayan, H., Jacques, L., & Absil, P.-A. 2023, in ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 1 [Google Scholar]
- Wahhaj, Z., Cieza, L. A., Mawet, D., et al. 2015, A&A, 581, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Wang, J. J., Graham, J. R., Pueyo, L., et al. 2016, AJ, 152, 97 [Google Scholar]
- Wertz, O., Absil, O., González, C. G., et al. 2017, A&A, 598, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Zheng, Y., Liu, G., Sugimoto, S., Yan, S., & Okutomi, M. 2012, in 2012 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 1410 [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.