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Assignment Flows for Data Labeling on Graphs: Convergence and Stability
[article]
2021
arXiv
pre-print
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 manifold and performs contextual labeling (classification) of data given in any metric space. Vertices of a given graph index the data points and define a system of neighborhoods. These neighborhoods together with nonnegative weight parameters define regularization of the evolution of label assignments to data points,
arXiv:2002.11571v2
fatcat:pco2ql44uratbayhe4vjyrwcdm