N. Thorstensen, O. Scherzer
Optimization methods in imaging and learning: From continuous to discrete and reverse
In this minisymposium we aim for bringing together researchers from different communities, from learning and optimization, which investigate the problem from discrete and continuous points of view, respectively.
The topics addressed in this minisymposium are:
The goal of this mini symposium is to communicate recent progress in discrete and continuous optimization methods for imaging and vision. Solving continuous PDE models using discrete optimization methods such as graph cut techniques. Asymptotic, understanding the connection between continuous solution and discrete approximation – for instance, which energies are graph representable.