Open Access
Issue |
A&A
Volume 690, October 2024
|
|
---|---|---|
Article Number | A224 | |
Number of page(s) | 16 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202450214 | |
Published online | 11 October 2024 |
- Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, software available from tensorflow.org [Google Scholar]
- Abazajian, K. N., Adelman-McCarthy, J. K., Agüeros, M. A., et al. 2009, ApJS, 182, 543 [Google Scholar]
- Adelman-McCarthy, J. K., Agüeros, M. A., Allam, S. S., et al. 2008, ApJS, 175, 297 [NASA ADS] [CrossRef] [Google Scholar]
- Alam, S., Albareti, F. D., Allende Prieto, C., et al. 2015, ApJS, 219, 12 [Google Scholar]
- Arnaboldi, M., Neeser, M. J., Parker, L. C., et al. 2007, The Messenger, 127, 28 [NASA ADS] [Google Scholar]
- Assef, R. J., Stern, D., Noirot, G., et al. 2018, ApJS, 234, 23 [Google Scholar]
- Ball, N. M., Brunner, R. J., Myers, A. D., & Tcheng, D. 2006, ApJ, 650, 497 [NASA ADS] [CrossRef] [Google Scholar]
- Bamford, S. P., Nichol, R. C., Baldry, I. K., et al. 2009, MNRAS, 393, 1324 [NASA ADS] [CrossRef] [Google Scholar]
- Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Broeksema, B., Telea, A. C., & Baudel, T. 2013, Comput. Graph. Forum, 32, 158 [CrossRef] [Google Scholar]
- Buder, S., Sharma, S., Kos, J., et al. 2021, MNRAS, 506, 150 [NASA ADS] [CrossRef] [Google Scholar]
- Campello, R. J. G. B., Moulavi, D., & Sander, J. 2013, in Advances in Knowledge Discovery and Data Mining, eds. J. Pei, V. S. Tseng, L. Cao, H. Motoda, & G. Xu (Berlin, Heidelberg: Springer), 160 [Google Scholar]
- Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [Google Scholar]
- Carliles, S., Budavári, T., Heinis, S., Priebe, C., & Szalay, A. S. 2010, ApJ, 712, 511 [NASA ADS] [CrossRef] [Google Scholar]
- Chang, C.-C., & Lin, C.-J. 2011, ACM Trans. Intell. Syst. Technol., 2, 27 [CrossRef] [Google Scholar]
- Chang, Y.-Y., van der Wel, A., da Cunha, E., & Rix, H.-W. 2015, ApJS, 219, 8 [Google Scholar]
- Chen, T., & Guestrin, C. 2016, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD’16 (New York, NY, USA: ACM), 785 [CrossRef] [Google Scholar]
- Clarke, A. O., Scaife, A. M. M., Greenhalgh, R., & Griguta, V. 2020, A&A, 639, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Coil, A. L., Blanton, M. R., Burles, S. M., et al. 2011, ApJ, 741, 8 [Google Scholar]
- Coimbra, D. B., Martins, R. M., Neves, T. T., Telea, A. C., & Paulovich, F. V. 2016, Inform. Visual., 15, 154 [Google Scholar]
- Comaniciu, D., & Meer, P. 2002, IEEE Trans. Pattern Anal. Mach. Intell., 24, 603 [CrossRef] [Google Scholar]
- Cool, R. J., Moustakas, J., Blanton, M. R., et al. 2013, ApJ, 767, 118 [NASA ADS] [CrossRef] [Google Scholar]
- Cox, M. A. A., & Cox, T. F. 2008, Multidimensional Scaling (Berlin, Heidelberg: Springer), 315 [Google Scholar]
- Creevey, O. L., Sordo, R., Pailler, F., et al. 2023, A&A, 674, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Cutri, R. M., Wright, E. L., Conrow, T., et al. 2013, Explanatory Supplement to the AllWISE Data Release Products [Google Scholar]
- Daddi, E., Cimatti, A., Renzini, A., et al. 2004, ApJ, 617, 746 [NASA ADS] [CrossRef] [Google Scholar]
- de Jong, J. T. A., Verdoes Kleijn, G. A., Boxhoorn, D. R., et al. 2015, A&A, 582, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- De Silva, V., & Tenenbaum, J. B. 2004, Sparse multidimensional scaling using landmark points, Tech. rep., Stanford University [Google Scholar]
- Dubath, P., Apostolakos, N., Bonchi, A., et al. 2017, in Astroinformatics, 325, eds. M. Brescia, S. G. Djorgovski, E. D. Feigelson, G. Longo, & S. Cavuoti, 73 [Google Scholar]
- Edge, A., Sutherland, W., Kuijken, K., et al. 2013, The Messenger, 154, 32 [NASA ADS] [Google Scholar]
- Epanechnikov, V. A. 1969, Theory Probab. Appl., 14, 153 [Google Scholar]
- Espadoto., M. Hirata., N. S. T., Falcão., A. X., & Telea., A. C. 2020, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) – IVAPP, INSTICC (SciTePress), 29 [Google Scholar]
- Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S. T., & Telea, A. C. 2021, IEEE Trans. Visual. Comput. Graph., 27, 2153 [CrossRef] [Google Scholar]
- Ester, M., Kriegel, H.-P., Sander, J., & Xu, X. 1996, in Second International Conference on Knowledge Discovery and Data Mining (KDD’96), Proceedings of a conference held August 2–4, 226 [Google Scholar]
- Fotopoulou, S., & Paltani, S. 2018, A&A, 619, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fukunaga, K., & Hostetler, L. 1975, IEEE Trans. Inform. Theory, 21, 32 [CrossRef] [Google Scholar]
- Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garilli, B., Guzzo, L., Scodeggio, M., et al. 2014, A&A, 562, A23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- He, X., Cai, D., Yan, S., & Zhang, H.-J. 2005, in Tenth IEEE International Conference on Computer Vision (ICCV’05) Volume 1, 2, 1208 [Google Scholar]
- Hubble, E. P. 1926, ApJ, 64, 321 [Google Scholar]
- Hudelot, P., Cuillandre, J. C., Withington, K., et al. 2012, VizieR Online Data Catalog: II/317 [Google Scholar]
- Hurter, C., Ersoy, O., & Telea, A. 2012, Comput. Graph. Forum, 31, 865 [CrossRef] [Google Scholar]
- Ioffe, S., & Szegedy, C. 2015, in 37, Proceedings of the 32nd International Conference on Machine Learning, eds. F. Bach & D. Blei (Lille, France: PMLR), 37, 448 [Google Scholar]
- Jarvis, M. J., Bonfield, D. G., Bruce, V. A., et al. 2013, MNRAS, 428, 1281 [Google Scholar]
- Jones, D. H., Saunders, W., Colless, M., et al. 2004, MNRAS, 355, 747 [NASA ADS] [CrossRef] [Google Scholar]
- Jones, D. H., Read, M. A., Saunders, W., et al. 2009, MNRAS, 399, 683 [Google Scholar]
- Kim, Y. 2023, PhD thesis, University of Groningen [Google Scholar]
- Kim, Y., Espadoto, M., Trager, S., Roerdink, J., & Telea, A. 2022a, in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3 (SciTePress), 63 [CrossRef] [Google Scholar]
- Kim, Y., Telea, A. C., Trager, S. C., & Roerdink, J. B. 2022b, Inform. Visual., 21, 197 [Google Scholar]
- Kingma, D. P., & Ba, J. 2014, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
- Kurcz, A., Bilicki, M., Solarz, A., et al. 2016, A&A, 592, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Le Fèvre, O., Cassata, P., Cucciati, O., et al. 2013, A&A, 559, A14 [Google Scholar]
- Lhuillier, A., Hurter, C., & Telea, A. 2017, Comput. Graph. Forum, 36, 619 [CrossRef] [Google Scholar]
- Lintott, C. J., Schawinski, K., Slosar, A., et al. 2008, MNRAS, 389, 1179 [NASA ADS] [CrossRef] [Google Scholar]
- Lintott, C., Schawinski, K., Bamford, S., et al. 2011, MNRAS, 410, 166 [Google Scholar]
- Liske, J., Baldry, I. K., Driver, S. P., et al. 2015, MNRAS, 452, 2087 [Google Scholar]
- Logan, C. H. A., & Fotopoulou, S. 2020, A&A, 633, A154 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lupton, R. H., Ivezic, Z., Gunn, J. E., et al. 2002, SPIE Conf. Ser., 4836, 350 [NASA ADS] [Google Scholar]
- Mainzer, A., Bauer, J., Grav, T., et al. 2011, ApJ, 731, 53 [Google Scholar]
- McInnes, L., Healy, J., & Melville, J. 2018, arXiv e-prints [arXiv:1802.03426] [Google Scholar]
- Modrakowski, T. S., Espadoto, M., Falcão, A. X., Hirata, N. S. T., & Telea, A. 2022, in Computer Vision, Imaging and Computer Graphics Theory and Applications, eds. K. Bouatouch, A. A. de Sousa, M. Chessa, et al. (Cham: Springer International Publishing), 127 [CrossRef] [Google Scholar]
- Nonato, L. G., & Aupetit, M. 2019, IEEE Trans. Visual. Comput. Graph., 25, 2650 [CrossRef] [Google Scholar]
- Odewahn, S. C., Stockwell, E. B., Pennington, R. L., Humphreys, R. M., & Zumach, W. A. 1992, AJ, 103, 318 [NASA ADS] [CrossRef] [Google Scholar]
- Patel, S. G., Holden, B. P., Kelson, D. D., et al. 2012, ApJ, 748, L27 [NASA ADS] [CrossRef] [Google Scholar]
- Richards, G. T., Nichol, R. C., Gray, A. G., et al. 2004, ApJS, 155, 257 [NASA ADS] [CrossRef] [Google Scholar]
- Richards, G. T., Myers, A. D., Gray, A. G., et al. 2009, ApJS, 180, 67 [Google Scholar]
- Rodrigues, F. C. M., Espadoto, M., Hirata, R., & Telea, A. C. 2019, Information, 10, 280 [CrossRef] [Google Scholar]
- Roweis, S. T., & Saul, L. K. 2000, Science, 290, 2323 [CrossRef] [PubMed] [Google Scholar]
- Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [Google Scholar]
- Schmidt, M., & Green, R. F. 1983, ApJ, 269, 352 [NASA ADS] [CrossRef] [Google Scholar]
- Sips, M., Neubert, B., Lewis, J. P., & Hanrahan, P. 2009, Comput. Graph. Forum, 28, 831 [CrossRef] [Google Scholar]
- Stern, D., Eisenhardt, P., Gorjian, V., et al. 2005, ApJ, 631, 163 [Google Scholar]
- Stern, D., Assef, R. J., Benford, D. J., et al. 2012, ApJ, 753, 30 [Google Scholar]
- Upton, G., & Cook, I. 2014, A Dictionary of Statistics (Oxford University Press) [Google Scholar]
- van der Maaten, L., & Hinton, G. 2008, J. Mach. Learn. Res., 9, 2579 [Google Scholar]
- Vasconcellos, E. C., de Carvalho, R. R., Gal, R. R., et al. 2011, AJ, 141, 189 [Google Scholar]
- Venna, J., & Kaski, S. 2001, in Artificial Neural Networks – ICANN 2001, eds. G. Dorffner, H. Bischof, & K. Hornik (Berlin, Heidelberg: Springer), 485 [CrossRef] [Google Scholar]
- Verro, K., Trager, S. C., Peletier, R. F., et al. 2022, A&A, 661, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Wang, Y., Machado, A., & Telea, A. 2023, Algorithms, 16, 438 [CrossRef] [Google Scholar]
- Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
- Zhang, Z., & Zha, H. 2004, SIAM J. Sci. Comput., 26, 313 [NASA ADS] [CrossRef] [Google Scholar]
- Zhang, T., Yang, J., Zhao, D., & Ge, X. 2007, Neurocomputing, 70, 1547 [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.