56 citations · 99 across the 19 of their papers we have counts for
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Multilevel Geometric Optimization for Regularised Constrained Linear Inverse Problems
Sebastian Müller, Stefania Petra, Matthias Zisler
We present a geometric multilevel optimization approach that smoothly incorporates box constraints. Given a box constrained optimization problem, we consider a hierarchy of models…
Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case
Yair Censor, Stefania Petra, Christoph Schnörr
We conduct a study and comparison of superiorization and optimization approaches for the reconstruction problem of superiorized/regularized least-squares solutions of underdetermin…
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment
Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra +1
We study the inverse problem of model parameter learning for pixelwise image labeling, using the linear assignment flow and training data with ground truth. This is accomplished by…
Performance Bounds For Co-/Sparse Box Constrained Signal Recovery
Jan Kuske, Stefania Petra
The recovery of structured signals from a few linear measurements is a central point in both compressed sensing (CS) and discrete tomography. In CS the signal structure is describe…
A Novel Convex Relaxation for Non-Binary Discrete Tomography
Jan Kuske, Paul Swoboda, Stefania Petra
We present a novel convex relaxation and a corresponding inference algorithm for the non-binary discrete tomography problem, that is, reconstructing discrete-valued images from few…