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Deep learning meets PDEs: an effective framework for image restoration
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Description: |
Image restoration is one of the major concerns in image processing with many interesting applications. Partial differential equation (PDE) based models, namely of nonlinear diffusion type, are well-known and widely used for image noise removal. In this seminar we will describe a flexible learning framework based on the concept of optimized nonlinear reaction diffusion models for various image restoration problems.
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Date: |
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11:00 |
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Speaker: |
Sílvia Barbeiro (CMUC, Univ. Coimbra)
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Institution: |
CMUC, Department of Mathematics, University of Coimbra
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Place: |
Sala 004, UP Math. Dept.
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See more:
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<Main>
<UC|UP MATH PhD Program>
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© 2012 Centre for Mathematics, University of Coimbra, funded by
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