Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ferdia Sherry"'
Autor:
Dongdong Chen, Mike Davies, Matthias J. Ehrhardt, Carola-Bibiane Schonlieb, Ferdia Sherry, Julian Tachella
Publikováno v:
Chen, D, Davies, M, Ehrhardt, M J, Schönlieb, C-B, Sherry, F & Tachella, J 2023, ' Imaging with Equivariant Deep Learning : From unrolled network design to fully unsupervised learning ', IEEE Signal Processing Magazine, vol. 40, no. 1, pp. 134-147 . https://doi.org/10.1109/MSP.2022.3205430
From early image processing to modern computational imaging, successful models and algorithms have relied on a fundamental property of natural signals: symmetry. Here symmetry refers to the invariance property of signal sets to transformations, such
Publikováno v:
IEEE Signal Processing Magazine
Autor:
Christian Etmann, Matthias J. Ehrhardt, Ferdia Sherry, Elena Celledoni, Carola-Bibiane Schönlieb, Brynjulf Owren, Robert I.. McLachlan
Publikováno v:
Celledoni, E, Ehrhardt, M J, Etmann, C, McLachlan, R I, Owren, B, Schonlieb, C B & Sherry, F 2021, ' Structure-preserving deep learning ', European Journal of Applied Mathematics, vol. 32, no. 5, pp. 888-936 . https://doi.org/10.1017/S0956792521000139
Over the past few years, deep learning has risen to the foreground as a topic of massive interest, mainly as a result of successes obtained in solving large-scale image processing tasks. There are multiple challenging mathematical problems involved i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dec4c651cb307aad46b10586a7f1706a
https://purehost.bath.ac.uk/ws/files/205822347/2006.03364v1.pdf
https://purehost.bath.ac.uk/ws/files/205822347/2006.03364v1.pdf
Autor:
Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Elena Celledoni, Ferdia Sherry, Matthias J. Ehrhardt
Publikováno v:
Inverse Problems
Celledoni, E, Ehrhardt, M J, Etmann, C, Owren, B, Schönlieb, C-B & Sherry, F 2021, ' Equivariant neural networks for inverse problems ', Inverse Problems, vol. 37, no. 8, pp. 085006 . https://doi.org/10.1088/1361-6420/ac104f
Celledoni, E, Ehrhardt, M J, Etmann, C, Owren, B, Schönlieb, C-B & Sherry, F 2021, ' Equivariant neural networks for inverse problems ', Inverse Problems, vol. 37, no. 8, pp. 085006 . https://doi.org/10.1088/1361-6420/ac104f
Funder: Cantab Capital Institute for the Mathematics of Information
Funder: Alan Turing Institute; doi: https://doi.org/10.13039/100012338
In recent years the use of convolutional layers to encode an inductive bias (translational equivarian
Funder: Alan Turing Institute; doi: https://doi.org/10.13039/100012338
In recent years the use of convolutional layers to encode an inductive bias (translational equivarian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b148be055e80489808f1f8dc0ff4041