2 papers
math.DS2019
Continuous-Domain Assignment Flows
Fabrizio Savarino, Christoph Schnörr
Assignment flows denote a class of dynamical models for contextual data labeling (classification) on graphs. We derive a novel parametrization of assignment flows that reveals how…
math.OC2019
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…