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SUMMARY:Carola Bibiane Schönlieb (Department of Applied Mathematics and T
 heoretical Physics\, University of Cambridge)
DTSTART:20240906T120000Z
DTEND:20240906T130000Z
DTSTAMP:20260422T122146Z
UID:MathMAC/13
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MathMAC/13/"
 >Mathematical imaging: From geometric PDEs and variational modelling to de
 ep learning for images</a>\nby Carola Bibiane Schönlieb (Department of Ap
 plied Mathematics and Theoretical Physics\, University of Cambridge) as pa
 rt of Modelling of materials - theory\, model reduction and efficient nume
 rical methods (UNCE MathMAC)\n\n\nAbstract\nImages are a rich source of be
 autiful mathematical formalism and analysis. Associated mathematical probl
 ems arise in functional and non-smooth analysis\, the theory and numerical
  analysis of nonlinear partial differential equations\, inverse problems\,
  harmonic\, stochastic and statistical analysis\, and optimisation. In thi
 s talk we will learn about some of these mathematical problems\, about var
 iational models and PDEs for image analysis and inverse imaging problems a
 s well as recent advances where such mathematical models are complemented 
 and replaced by deep neural networks. The talk is furnished with applicati
 ons to art restoration\, forest conservation and cancer research.\n
LOCATION:https://researchseminars.org/talk/MathMAC/13/
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