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DTSTART:19700329T010000
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CATEGORIES:Biological and Biomedical Physics
SUMMARY:From differential equations to deep learning for i
mage processing - Carola-Bibiane Schoenlieb\, Univ
ersity of Cambridge
DTSTART;TZID=Europe/London:20200124T160000
DTEND;TZID=Europe/London:20200124T170000
UID:TALK132550AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/132550
DESCRIPTION:Images are a rich source of beautiful mathematical
formalism and analysis. Associated mathematical p
roblems arise in functional and non-smooth analysi
s\, the theory and numerical analysis of partial d
ifferential equations\, harmonic\, stochastic and
statistical analysis\, and optimisation. Starting
with a discussion on the intrinsic structure of im
ages and their mathematical representation\, in th
is talk we will learn about some of these mathemat
ical problems\, about variational models for image
analysis and their connection to partial differen
tial equations and deep learning. The talk is furn
ished with applications to biomedical image analys
is.
LOCATION: Small Lecture Theatre\, Cavendish Laboratory\, J.
J. Thomson Avenue
CONTACT:Diana Fusco
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