Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Glaunès, Joan Alexis"'
Kernel matrix-vector multiplication (KMVM) is a foundational operation in machine learning and scientific computing. However, as KMVM tends to scale quadratically in both memory and time, applications are often limited by these computational constrai
Externí odkaz:
http://arxiv.org/abs/2202.01085
Autor:
Charlier, Benjamin, Feydy, Jean, Glaunès, Joan Alexis, Collin, François-David, Durif, Ghislain
Publikováno v:
Journal of Machine Learning Research 22, 1-6 (2021). https://jmlr.org/papers/v22/20-275.html
The KeOps library provides a fast and memory-efficient GPU support for tensors whose entries are given by a mathematical formula, such as kernel and distance matrices. KeOps alleviates the major bottleneck of tensor-centric libraries for kernel and g
Externí odkaz:
http://arxiv.org/abs/2004.11127
Autor:
Micheli, Mario, Glaunès, Joan Alexis
The main purpose of this paper is providing a systematic study and classification of non-scalar kernels for Reproducing Kernel Hilbert Spaces (RKHS), to be used in the analysis of deformation in shape spaces endowed with metrics induced by the action
Externí odkaz:
http://arxiv.org/abs/1308.5739
Publikováno v:
Forensic Science International 210, 1-3 (2011) 228 - 236
In this paper, we present a computer-assisted method for facial reconstruction. This method provides an estimation of the facial shape associated with unidentified skeletal remains. Current computer-assisted methods using a statistical framework rely
Externí odkaz:
http://arxiv.org/abs/1202.2703
Akademický článek
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Akademický článek
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Publikováno v:
Medical Physics
Medical Physics, American Association of Physicists in Medicine, 2007, 34 (6), pp.2352
Medical Physics, American Association of Physicists in Medicine, 2007, 34 (6), pp.2352
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8912cc26c216fdf94f5fe5cf6211abac
https://hal.archives-ouvertes.fr/hal-00625623
https://hal.archives-ouvertes.fr/hal-00625623
Autor:
Glaunès, Joan Alexis, Joshi, Sarang
Publikováno v:
Proceedings of the First International Workshop on Mathematical Foundations of Computational Anatomy-Geometrical and Statistical Methods for Modelling Biological Shape Variability
1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability
1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Oct 2006, Copenhagen, Denmark. 2006
1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Oct 2006, Copenhagen, Denmark
1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability
1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Oct 2006, Copenhagen, Denmark. 2006
1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Oct 2006, Copenhagen, Denmark
International audience; A central notion in Computational Anatomy is the generation of registration maps,mapping a large set of anatomical data to a common coordinate system to study intra-population variability and inter-population differences. In p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::777ed2e0dbd9a7e32e89f503fdd72c3c
https://hal.archives-ouvertes.fr/hal-00263576
https://hal.archives-ouvertes.fr/hal-00263576
Autor:
Glaunès, Joan Alexis, Vaillant, Marc
Publikováno v:
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, Springer Verlag, 2004, 20, pp.179-200
Journal of Mathematical Imaging and Vision, Springer Verlag, 2004, 20, pp.179-200
International audience; This paper presents a methodology and algorithm for generating diffeomorphisms of the sphere onto itself, given the displacements of a finite set of template landmarks. Deformation maps are constructed by integration of veloci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4ef86ffe20aee9663178220e077137ed
https://hal.archives-ouvertes.fr/hal-00263586
https://hal.archives-ouvertes.fr/hal-00263586
Autor:
Allassonnière, Stéphanie, Bigot, Jérémie, Glaunès, Joan Alexis, Maire, Florian, Richard, Frederic
Publikováno v:
Annales mathématiques Blaise Pascal
Annales mathématiques Blaise Pascal, cedram, 2013, 20 (1), pp.1-35. 〈10.5802/ambp.320〉
Annales mathématiques Blaise Pascal, cedram, 2013, 20 (1), pp.1-35. ⟨10.5802/ambp.320⟩
Annales Mathématiques Blaise Pascal
Annales Mathématiques Blaise Pascal, 2013, 20 (1), pp.1-35. ⟨10.5802/ambp.320⟩
Annales Mathématiques Blaise Pascal, Université Blaise-Pascal-Clermont-Ferrand, 2013, 20 (1), pp.1-35. ⟨10.5802/ambp.320⟩
Annales mathématiques Blaise Pascal, cedram, 2013, 20 (1), pp.1-35. 〈10.5802/ambp.320〉
Annales mathématiques Blaise Pascal, cedram, 2013, 20 (1), pp.1-35. ⟨10.5802/ambp.320⟩
Annales Mathématiques Blaise Pascal
Annales Mathématiques Blaise Pascal, 2013, 20 (1), pp.1-35. ⟨10.5802/ambp.320⟩
Annales Mathématiques Blaise Pascal, Université Blaise-Pascal-Clermont-Ferrand, 2013, 20 (1), pp.1-35. ⟨10.5802/ambp.320⟩
International audience; Les données de grande dimensions sont de plus en plus fréquemment collectées dans de nombreux domaines d'application. Il devient alors particulièrement important d'être capable d'extraire des caractéristiques significati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::043f3d8f4c801951cd88c757b282e34a
https://hal.archives-ouvertes.fr/hal-00857423/file/AllassonniA_re_Bigot_GlaunA_s_Maire_Richard_-_Statistical_models_for_deformable_templates_in_image_and_shape_analysis_-_AMBP_2013_20_1_1_0.pdf
https://hal.archives-ouvertes.fr/hal-00857423/file/AllassonniA_re_Bigot_GlaunA_s_Maire_Richard_-_Statistical_models_for_deformable_templates_in_image_and_shape_analysis_-_AMBP_2013_20_1_1_0.pdf