56 citations · 199 across the 40 of their papers we have counts for
5 papers · 1 filter
Sigma Flows for Image and Data Labeling and Learning Structured Prediction
Jonas Cassel, Bastian Boll, Stefania Petra +2
This paper introduces the sigma flow model for the prediction of structured labelings of data observed on Riemannian manifolds, including Euclidean image domains as special case. T…
Quantum State Assignment Flows
Jonathan Schwarz, Jonas Cassel, Bastian Boll +3
This paper introduces assignment flows for density matrices as state spaces for representing and analyzing data associated with vertices of an underlying weighted graph. Determinin…
On the Geometric Mechanics of Assignment Flows for Metric Data Labeling
Fabrizio Savarino, Peter Albers, Christoph Schnörr
Metric data labeling refers to the task of assigning one of multiple predefined labels to every given datapoint based on the metric distance between label and data. This assignment…
Assignment Flows for Data Labeling on Graphs: Convergence and Stability
Artjom Zern, Alexander Zeilmann, Christoph Schnörr
The assignment flow recently introduced in the J. Math. Imaging and Vision 58/2 (2017), constitutes a high-dimensional dynamical system that evolves on an elementary statistical ma…
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…