Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

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Session Overview
Location: SR 02
Date: Wednesday, 20/Feb/2019
4:30pm
-
6:30pm
S21.01: Mathematical signal and image processing
Location: SR 02
Chair: Clemens Kirisits
 
4:30pm - 5:10pm

Numerical algorithms for stabilised backward image evolutions

J. Weickert, M. Welk, L. Bergerhoff, M. Cardenas, G. Gilboa



5:10pm - 5:30pm

Riemannian structure and flows for smooth geometric image labeling

F. Savarino, C. Schnörr



5:30pm - 5:50pm

Geometric numerical integration of the assignment flow

A. Zeilmann, F. Savarino, S. Petra, C. Schnörr



5:50pm - 6:10pm

Generalised quantiles for multivariate images

M. Welk



6:10pm - 6:30pm

A method for image decomposition and particle quantification

S. Günther, S. Odenbach

Date: Thursday, 21/Feb/2019
8:30am
-
10:30am
S21.02: Mathematical signal and image processing
Location: SR 02
Chair: Clemens Kirisits
 
8:30am - 8:50am

Deblurring and denoising using Tikhonov functionals with imperfect forward operators and epsilon-insensitive distances

P. Gralla, I. Piotrowska-Kurczewski, P. Maass



8:50am - 9:10am

Musical instrument separation on shift-invariant spectrograms via stochastic dictionary learning

S. Schulze, E. J. King



9:10am - 9:30am

Unsupervised Label Learning on Manifolds by Geometric Assignment

A. Zern, M. Zisler, F. Åström, S. Petra, C. Schnörr



9:30am - 9:50am

Extraction of wavefront sets by deep convolutional neural networks and shearlets

H. Andrade Loarca, G. Kutyniok, O. Öktem, P. Petersen



9:50am - 10:10am

The mismatch principle: statistical learning under large model uncertainties

M. Genzel, G. Kutyniok



10:10am - 10:30am

Dimension reduction in learning tasks

A. Breger, M. Ehler, B. S. Gerendas, J. I. Orlando, U. Schmidt-Erfurth


 
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