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检索条件"任意字段=4th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2013"
84 条 记 录,以下是81-90 订阅
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Learning Posterior Distributions in Underdetermined Inverse Problems  9th
Learning Posterior Distributions in Underdetermined Inverse...
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9th international conference on scale space and variational methods in computer vision, ssvm 2023
作者: Runkel, Christina Moeller, Michael Schönlieb, Carola-Bibiane Etmann, Christian Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge United Kingdom Department of Electrical Engineering and Computer Science University of Siegen Siegen Germany
In recent years, classical knowledge-driven approaches for inverse problems have been complemented by data-driven methods exploiting the power of machine and especially deep learning. Purely data-driven methods, howev... 详细信息
来源: 评论
Geometric Adaptations of PDE-G-CNNs  9th
Geometric Adaptations of PDE-G-CNNs
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9th international conference on scale space and variational methods in computer vision, ssvm 2023
作者: Bellaard, Gijs Pai, Gautam Bescos, Javier Olivan Duits, Remco Department of Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands Philips Eindhoven Netherlands
Group equivariant convolutional neural networks (G-CNNs) have been successfully applied in geometric deep learning. the recently introduced framework of PDE-based G-CNNs (PDE-G-CNNs) generalizes G-CNNs while simultane... 详细信息
来源: 评论
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers  9th
Fluctuation-Based Deconvolution in Fluorescence Microscopy ...
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9th international conference on scale space and variational methods in computer vision, ssvm 2023
作者: Stergiopoulou, Vasiliki Mukherjee, Subhadip Calatroni, Luca Blanc-Féraud, Laure UCA CNRS INRIA Laboratoire I3S Sophia-Antipolis06903 France Department of Computer Science University of Bath Bath United Kingdom
the spatial resolution of images of living samples obtained by fluorescence microscopes is physically limited due to the diffraction of visible light, which makes the study of entities of size less than the diffractio... 详细信息
来源: 评论
Analysis of Bayesian blind deconvolution
Analysis of Bayesian blind deconvolution
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9th international conference on Energy Minimization methods in computer vision and Pattern Recognition, EMMCVPR 2013
作者: Wipf, David Zhang, Haichao Visual Computing Group Microsoft Research Beijing China School of Computer Science Northwestern Polytechnical University Xi'an China
Blind deconvolution involves the estimation of a sharp signal or image given only a blurry observation. Because this problem is fundamentally ill-posed, strong priors on both the sharp image and blur kernel are requir... 详细信息
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