Resultado final
Report on applying dictionary learning on manifolds developed in DEDALE in combination with interpolation methods which are used extensively by the UCL group (e.g neural networks and Gaussian processes) to build a model for the Euclid PSF.
Optimization for manifold-valued signal restoration.Report on optimization methods for signal restoration with manifold-valued representations: designing and implementing algorithms to solve linear inverse problems with non-linear signal representations; The case of non-linear and potentially non-convex problems will be discussed.
Adaptive transforms for manifold-valued data.Report on the development of adapted multiscale transforms. The final learned dictionary is restricted to a class of dictionaries generated from a structured dictionary such as shearlet. Existence of fast transform/reconstruction will be discussed.
Non-linear learning on complex imaging data.Report on Non-linear learning on complex imaging data: learning representations for data lying on unknown low-dimensional manifolds. The use of deep learning architectures like stacked sparse autoencoders will be particularly studied in this task.
Large-scale learning schemes.Evaluation of cutting edge distributed processing platforms, such as GraphLab, Mahout and MLI, for benchmarking large-scale test sets for machine learning. Real time parallel processing considerations will be actively taken under account into this task.
Optimizations for non-linear learning.Report on building upon proximal methods and problem splitting techniques to design highly-parallelizable sparse solvers (e.g. sparse/low-rank multivariate signal decompositions.)
Learning-based photometric and spectroscopic redshift estimationReport on the development of a dictionary learning based method for spectroscopic and photometric redshift estimation of Euclid data.
Dictionary learning for multivariate/multispectral data.Report on Dictionary Learning on multi-valued data. The case of multi-channel polarized data on the sphere will be considered.
Linear inverse problems with sparsity constraints.Report on the development of dedicated solvers for the recovery of multivariate signals with adapted sparse priors, either in fixed representations from Task 2.1 or learnt representations from task 2.2. Convergence and Computation time will be discussed.
Development of a numerical toolbox and benchmark test set. The code will be in Python and/orC++. The algorithms related to tasks 3.1 and 3.2 will be included in the toolbox, and benchmark data will also be joined to the toolbox for test and evaluation.
Toolbox and benchmarking platform for large scale learning.Toolbox for parallel linear and non-linear sparsity based learning architectures.
Report on using dictionary methods for 2D and 3D mass mapping from weak lensing data. Data available in the framework of the Open Research Data Pilot concept.
Realization of web site, contains informations about the project (publications, technical notes, etc).
Publicaciones
Autores:
J. Bobin, F. Sureau, J.-L. Starck
Publicado en:
Astronomy & Astrophysics, Edición 591, 2016, Página(s) A50, ISSN 0004-6361
Editor:
Springer Verlag
DOI:
10.1051/0004-6361/201527822
Autores:
Jean-Luc Starck
Publicado en:
Journal of Physics: Conference Series, Edición 699, 2016, Página(s) 012010, ISSN 1742-6588
Editor:
Institute of Physics
DOI:
10.1088/1742-6596/699/1/012010
Autores:
F. Lanusse, J.-L. Starck, A. Leonard, S. Pires
Publicado en:
Astronomy & Astrophysics, Edición 591, 2016, Página(s) A2, ISSN 0004-6361
Editor:
Springer Verlag
DOI:
10.1051/0004-6361/201628278
Autores:
F. Ngolé, J.-L. Starck
Publicado en:
SIAM Journal on Imaging Sciences, Edición 10/3, 2017, Página(s) 1549-1578, ISSN 1936-4954
Editor:
Society for Industrial and Applied Mathematics
DOI:
10.1137/16M1093677
Autores:
Philipp Grohs, Sandra Keiper, Gitta Kutyniok, Martin Schäfer
Publicado en:
Applied and Computational Harmonic Analysis, Edición 41/1, 2016, Página(s) 297-336, ISSN 1063-5203
Editor:
Academic Press
DOI:
10.1016/j.acha.2015.10.009
Autores:
Austin Peel, François Lanusse, Jean-Luc Starck
Publicado en:
The Astrophysical Journal, Edición 847/1, 2017, Página(s) 23, ISSN 1538-4357
Editor:
IOPScience
DOI:
10.3847/1538-4357/aa850d
Autores:
S. Farrens, F. M. Ngolè Mboula, J.-L. Starck
Publicado en:
Astronomy & Astrophysics, Edición 601, 2017, Página(s) A66, ISSN 0004-6361
Editor:
Springer Verlag
DOI:
10.1051/0004-6361/201629709
Autores:
Grigorios Tsagkatakis, Baltasar Beferull-Lozano, Panagiotis Tsakalides
Publicado en:
EURASIP Journal on Advances in Signal Processing, Edición 2016/1, 2016, ISSN 1687-6180
Editor:
springer
DOI:
10.1186/s13634-016-0360-0
Autores:
Konstantinos Karalas, Grigorios Tsagkatakis, Michael Zervakis, Panagiotis Tsakalides
Publicado en:
IEEE Transactions on Geoscience and Remote Sensing, Edición 54/6, 2016, Página(s) 3548-3563, ISSN 0196-2892
Editor:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/TGRS.2016.2520203
Autores:
Sofia Savvaki, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides
Publicado en:
IEEE Journal of Biomedical and Health Informatics, Edición 21/6, 2017, Página(s) 1554-1561, ISSN 2168-2194
Editor:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/JBHI.2017.2716112
Autores:
Sandra Keiper, Gitta Kutyniok, Dae Gwan Lee, Götz E. Pfander
Publicado en:
Linear Algebra and its Applications, Edición 532, 2017, Página(s) 570-613, ISSN 0024-3795
Editor:
Elsevier BV
DOI:
10.1016/j.laa.2017.07.006
Autores:
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Ngolè, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
Publicado en:
SIAM Journal on Imaging Sciences, Edición 11/1, 2018, Página(s) 643-678, ISSN 1936-4954
Editor:
Society for Industrial and Applied Mathematics
DOI:
10.1137/17M1140431
Autores:
Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok, Thomas Wiegand
Publicado en:
Signal Processing: Image Communication, Edición 61, 2018, Página(s) 33-43, ISSN 0923-5965
Editor:
Elsevier BV
DOI:
10.1016/j.image.2017.11.001
Autores:
J. Frontera-Pons, F. Sureau, J. Bobin, E. Le Floc’h
Publicado en:
Astronomy & Astrophysics, Edición 603, 2017, Página(s) A60, ISSN 0004-6361
Editor:
Springer Verlag
DOI:
10.1051/0004-6361/201630240
Autores:
Philipp Petersen, Felix Voigtlaender
Publicado en:
Neural Networks, Edición 108, 2018, Página(s) 296-330, ISSN 0893-6080
Editor:
Pergamon Press Ltd.
DOI:
10.1016/j.neunet.2018.08.019
Autores:
F Ngolè, J-L Starck, K Okumura, J Amiaux, P Hudelot
Publicado en:
Inverse Problems, Edición 32/12, 2016, Página(s) 124001, ISSN 0266-5611
Editor:
Institute of Physics Publishing
DOI:
10.1088/0266-5611/32/12/124001
Autores:
Austin Peel, Valeria Pettorino, Carlo Giocoli, Jean-Luc Starck, Marco Baldi
Publicado en:
Astronomy & Astrophysics, Edición 619, 2018, Página(s) A38, ISSN 0004-6361
Editor:
Springer Verlag
DOI:
10.1051/0004-6361/201833481
Autores:
Austin Peel, Chieh-An Lin, François Lanusse, Adrienne Leonard, Jean-Luc Starck, Martin Kilbinger
Publicado en:
Astronomy & Astrophysics, Edición 599, 2017, Página(s) A79, ISSN 0004-6361
Editor:
Springer Verlag
DOI:
10.1051/0004-6361/201629928
Autores:
J D Rivera, B Moraes, A I Merson, S Jouvel, F B Abdalla, M C B Abdalla
Publicado en:
Monthly Notices of the Royal Astronomical Society, Edición 477/4, 2018, Página(s) 4330-4347, ISSN 0035-8711
Editor:
Blackwell Publishing Inc.
DOI:
10.1093/mnras/sty880
Autores:
N Jeffrey, F B Abdalla, O Lahav, F Lanusse, J-L Starck, A Leonard, D Kirk, C Chang, E Baxter, T Kacprzak, S Seitz, V Vikram, L Whiteway, T M C Abbott, S Allam, S Avila, E Bertin, D Brooks, A Carnero Rosell, M Carrasco Kind, J Carretero, F J Castander, M Crocce, C E Cunha, C B D’Andrea, L N da Costa, C Davis, J De Vicente, S Desai, P Doel, T F Eifler, A E Evrard, B Flaugher, P Fosalba, J Frie
Publicado en:
Monthly Notices of the Royal Astronomical Society, Edición 479/3, 2018, Página(s) 2871-2888, ISSN 0035-8711
Editor:
Blackwell Publishing Inc.
DOI:
10.1093/mnras/sty1252
Autores:
R. Joseph, F. Courbin, J.-L. Starck
Publicado en:
Astronomy & Astrophysics, Edición 589, 2016, Página(s) A2, ISSN 0004-6361
Editor:
Springer Verlag
DOI:
10.1051/0004-6361/201527923
Autores:
Genzel, Martin; Kutyniok, Gitta
Publicado en:
Edición 25, 2016
Editor:
ArXiv
Autores:
Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
Publicado en:
2017
Editor:
ArXiv
Autores:
Martin Genzel, Alexander Stollenwerk
Publicado en:
2018
Editor:
arXiv
Autores:
Martin Genzel, Peter Jung
Publicado en:
2017
Editor:
ArXiv
Autores:
Bernard G. Bodmann, Axel Flinth, Gitta Kutyniok
Publicado en:
2018
Editor:
arXiv
Autores:
Grohs, Philipp; Kutyniok, Gitta; Ma, Jackie; Petersen, Philipp; Raslan, Mones
Publicado en:
Edición 33, 2015
Editor:
ArXiv
Autores:
Martin Genzel, Gitta Kutyniok, Maximilian März
Publicado en:
2017
Editor:
ArXiv
Autores:
Martin Genzel, Gitta Kutyniok
Publicado en:
2018
Editor:
arXiv
Autores:
Voigtlaender, Felix
Publicado en:
Edición 21, 2016
Editor:
ArXiv
Autores:
Florent Sureau, Felix Voigtlaender, Malte Wust, Jean-Luc Starck, Gitta Kutyniok
Publicado en:
2018
Editor:
arXiv
Autores:
A. Panousopoulou, S. Farrens, K. Fotiadou, A. Woiselle, G. Tsagkatakis, , J.-L. Starck, P. Tsakalides
Publicado en:
2018
Editor:
arXiv
Autores:
Niall Jeffrey, Filipe B. Abdalla
Publicado en:
2018
Editor:
arXiv
Autores:
Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes, Filipe Abdalla, Jean-Luc Starck, Panagiotis Tsakalides
Publicado en:
2018
Editor:
arXiv
Autores:
Arthur Loureiro, Bruno Moraes, Filipe B. Abdalla, Andrei Cuceu, Michael McLeod, Lorne Whiteway, Sreekumar T. Balan, Aurélien Benoit-Lévy, Ofer Lahav, Marc Manera, Richard Rollins, Henrique S. Xavier
Publicado en:
2018
Editor:
arXiv
Autores:
Felix Voigtlaender, Anne Pein
Publicado en:
2017
Editor:
arXiv
Autores:
Athanasia Panousopoulou, Sammuel Farrens, Yannis Mastorakis, Jean-Luck Starck, Panagiotis Tsakailides
Publicado en:
2017 25th European Signal Processing Conference (EUSIPCO), 2017, Página(s) 1440-1444, ISBN 978-0-9928626-7-1
Editor:
IEEE
DOI:
10.23919/eusipco.2017.8081447
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