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ORCIDVéronique Delouille
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2020 – today
- 2022
[i6]Ryan M. McGranaghan, Barbara J. Thompson, Enrico Camporeale, J. Bortnik, Monica G. Bobra, G. Lapenta, S. Wing, Bala Poduval, S. Lotz, S. Murray, Michael S. F. Kirk, T. Y. Chen, H. M. Bain, P. Riley, B. Tremblay, M. Cheung, Véronique Delouille:
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050. CoRR abs/2212.13325 (2022)
2010 – 2019
- 2018
- [c8]Sophie Mathieu, Rainer von Sachs, Véronique Delouille, Laure Lefevre:
Uncertainty Quantification in Sunspot Counts. DSW 2018: 36-40 - 2015
- [c7]Kevin R. Moon, Alfred O. Hero III, Véronique Delouille:
Meta learning of bounds on the Bayes classifier error. SP/SPE 2015: 13-18 - [i5]Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Ruben De Visscher, Fraser Watson, Alfred O. Hero III:
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis. CoRR abs/1503.04127 (2015) - [i4]Kevin R. Moon, Véronique Delouille, Jimmy J. Li, Ruben De Visscher, Fraser Watson, Alfred O. Hero III:
Image patch analysis of sunspots and active regions. II. Clustering via dictionary learning. CoRR abs/1504.02762 (2015) - [i3]Kevin R. Moon, Véronique Delouille, Alfred O. Hero III:
Meta learning of bounds on the Bayes classifier error. CoRR abs/1504.07116 (2015) - 2014
- [c6]Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Fraser Watson, Alfred O. Hero III:
Image patch analysis and clustering of sunspots: A dimensionality reduction approach. ICIP 2014: 1623-1627 - [i2]Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Fraser Watson, Alfred O. Hero III:
Image patch analysis and clustering of sunspots: a dimensionality reduction approach. CoRR abs/1406.6390 (2014) - [i1]Adriana Gonzalez, Véronique Delouille, Laurent Jacques:
Non-parametric PSF estimation from celestial transit solar images using blind deconvolution. CoRR abs/1412.6279 (2014) - 2011
- [j3]Pierre Chainais
, Emilie Koenig, Véronique Delouille, Jean-François Hochedez:
Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal Stochastic Processes. J. Math. Imaging Vis. 39(1): 28-44 (2011) - [c5]Pierre Chainais, Véronique Delouille, Jean-François Hochedez:
Scale invariant images in astronomy through the lens of multifractal modeling. ICIP 2011: 1309-1312
2000 – 2009
- 2009
- [c4]Vincent Barra, Véronique Delouille, Jean-François Hochedez:
Segmentation, Tracking and Characterization of Solar Features from EIT Solar Corona Images. SCIA 2009: 199-208 - 2007
- [c3]Vincent Barra, Véronique Delouille, Jean-François Hochedez:
Segmentation of Extreme Ultraviolet Solar Images using a Multispectral Data Fusion Process. FUZZ-IEEE 2007: 1-6 - 2006
- [j2]Véronique Delouille, Maarten Jansen, Rainer von Sachs:
Second-generation wavelet denoising methods for irregularly spaced data in two dimensions. Signal Process. 86(7): 1435-1450 (2006) - [j1]Véronique Delouille, Ramesh Neelamani, Richard G. Baraniuk:
Robust Distributed Estimation Using the Embedded Subgraphs Algorithm. IEEE Trans. Signal Process. 54(8): 2998-3010 (2006) - [c2]Raymond S. Wagner, Véronique Delouille, Richard G. Baraniuk:
Distributed Wavelet De-Noising for Sensor Networks. CDC 2006: 373-379 - 2004
- [c1]Véronique Delouille, Ramesh Neelamani, Richard G. Baraniuk:
Robust distributed estimation in sensor networks using the embedded polygons algorithm. IPSN 2004: 405-413
Coauthor Index
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