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eess.SP2020
Partition of Unity Methods for Signal Processing on Graphs
Roberto Cavoretto, Alessandra De Rossi, Wolfgang Erb
Partition of unity methods (PUMs) on graphs are simple and highly adaptive auxiliary tools for graph signal processing. Based on a greedy-type metric clustering and augmentation sc…
math.NA2020
A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction
Gaël Bringout, Wolfgang Erb, Jürgen Frikel
We derive a new 3D model for magnetic particle imaging (MPI) that is able to incorporate realistic magnetic fields in the reconstruction process. In real MPI scanners, the generate…
cs.LG2020
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
Wolfgang Erb
For semi-supervised learning on graphs, we study how initial kernels in a supervised learning regime can be augmented with additional information from known priors or from unsuperv…