Treffer 61 - 80 von 2.066

61

Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces
Lazzaretti, Marta ; Kereta, Zeljko ; Estatico, Claudio ; et al.
IX conference on Scale Space and Variational Methods in Computer Vision 2023. :457-470

Santa margherita di Pula... Inverse problems in Bana... Computed Tomography Stochastic gradient desc... Iterative regularisation [MATH]Mathematics [math]
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62

Multiplicative noise cleaning via a variational method involving curvelets coefficients
Durand, Sylvain ; Fadili, Jalal M. ; Nikolova, Mila ; et al.
Scale Space and Variational Methods in Computer Vision. :282-294

Voss, Norway [SPI.SIGNAL]Engineering... Signal and Image process... [INFO.INFO-TS]Computer S... Signal and Image Process... [INFO.INFO-TI]Computer S...
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63

Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation
Fu, Changqing ; Cohen, Laurent ; Université Paris Dauphine-PSL ; et al.
Eighth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM). :346-357

Virtual, France Machine Learning Image Generation Generative Adversarial N... Image deformation Contour Editing
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64

Deep learning and generative methods in cheminformatics and chemical biology: navigating small molecule space intelligently.
Kell DB ; Samanta S ; Swainston N
Publisher: Published by Portland Press on behalf of the Biochemical Society Country of Publication: England NLM ID: 2984726R Publication Model: Print Cited Medium: Internet ISSN: 1470-8728 (Electronic) Linking ISSN: 02646021 NLM ISO Abbreviation: Biochem J Subsets: MEDLINE

Cheminformatics Computer Simulation Deep Learning
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66

Quantisation Scale-Spaces
Peter, Pascal

Electrical Engineering a...
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67

Learning Anisotropic Metrics for Geodesic Distances via the Heat Equation for Image Segmentation
Makaroff, Nicolas ; Bertrand, Théo ; Cohen, Laurent D. ; et al.
10th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2025). :308-321

Totnes, United Kingdom Heat Equation Image Segmentation Deep... Image Segmentation Deep Learning Geodesic Distance
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68

Variational models for signal processing with Graph Neural Networks
Azad, Amitoz ; Rabin, Julien ; Elmoataz, Abderrahim ; et al.
Scale Space and Variational Methods in Computer Vision ; https://hal.science/hal-03249876 ; Scale Space and Variational Methods in Computer Vision, May 2021, Cabourg, France

Cabourg France Unsupervised learning Message Passing Network Variational Methods Total Variation
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69

RVLSM: Robust variational level set method for image segmentation with intensity inhomogeneity and high noise
Zhang, Fan ; Liu, Huiying ; Cao, Chuanshuo ; et al.
In Information Sciences June 2022 596:439-459

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70

A model is worth tens of thousands of examples
Dages, Thomas ; Cohen, Laurent D. ; Bruckstein, Alfred M. ; et al.
Lecture Notes in Computer Science ; 9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2023) ; https://hal.science/hal-04271603 ; 9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2023), May 2023, Santa Margherita di Pula, Italy. ⟨10.1007/978-3-031-31975-4_17⟩

Santa Margherita di Pula Italy Deep learning Model-based methods Sample complexity [INFO.INFO-CV]Computer S...
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71

Low-rank registration of images captured under unknown, varying lighting
Pizenberg, Matthieu ; Quéau, Yvain ; Elmoataz, Abderrahim ; et al.
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021). :153-164

Cabourg, France shape-from-X registration Photometric stereo [INFO.INFO-TI]Computer S... Image Processing [eess.I...
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72

About the Incorporation of Topological Prescriptions in CNNs for Medical Image Semantic Segmentation
Lambert, Zoé ; Le Guyader, Carole
Journal of Mathematical Imaging and Vision. :1-28

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73

A L1-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings
Quéau, Yvain ; Lauze, François ; Durou, Jean-Denis ; et al.
5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015). :498-510

Lège Cap Ferret, France Uncalibrated photometric... Proximal methods Total variation Spatially-varying lighti... Spatialisation
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74

A Quasi-Newton Primal-Dual Algorithm with Line Search
Wang, Shida ; Fadili, Jalal M. ; Ochs, Peter ; et al.
In 9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) ; https://hal.science/hal-04045378 ; In 9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), May 2023, Santa Margherita di Pula, Italy

Santa Margherita di Pula Italy [MATH.MATH-OC]Mathematic... [INFO.INFO-CV]Computer S...
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75

On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy
Lambert, Zoé ; Le Guyader, Carole ; Petitjean, Caroline ; et al.
SSVM 2023: Scale Space and Variational Methods in Computer Vision. :363-375

Santa Margherita di Pula... Splitting algorithm Incompressibility Nonlinear elasticity Joint segmentation registration
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76

A geometrically aware auto-encoder for multi-texture synthesis
Chatillon, Pierrick ; Gousseau, Yann ; Lefebvre, Sidonie ; et al.
SSVM 2023 - International Conference on Scale Space and Variational Methods in Computer Vision. :263-275

Santa Margherita di Pula... texture synthesis auto-encoder scale orientation models Texture
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78

Diffusion-Shock Filtering on the Space of Positions and Orientations
Sherry, Finn M. ; Schaefer, Kristina ; Duits, Remco

Mathematics - Differenti...
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