Quantum state assignment flows
This paper introduces assignment flows for density matrices as state spaces for
representation and analysis of data associated with vertices of an underlying weighted …
representation and analysis of data associated with vertices of an underlying weighted …
Sigma Flows for Image and Data Labeling and Learning Structured Prediction
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 …
observed on Riemannian manifolds, including Euclidean image domains as special case …
Nonlocal Graph-PDEs and Riemannian Gradient Flows for Image Labeling
D Sitenko - 2023 - archiv.ub.uni-heidelberg.de
In this thesis, we focus on the image labeling problem which is the task of performing unique
pixel-wise label decisions to simplify the image while reducing its redundant information. We …
pixel-wise label decisions to simplify the image while reducing its redundant information. We …