no code implementations • 26 Feb 2024 • Lucas Fabian Naumann, Jannik Irmai, Shengxian Zhao, Bjoern Andres
For $F = \emptyset$, the problem specializes to the multicut problem, and for $E = \tbinom{V}{2}$ to the clique partitioning problem.
1 code implementation • 13 Oct 2023 • Holger Heidrich, Jannik Irmai, Bjoern Andres
We introduce a lower bounding technique for the min max correlation clustering problem and, based on this technique, a combinatorial 4-approximation algorithm for complete graphs.
no code implementations • 10 Jul 2023 • Jannik Irmai, Shengxian Zhao, Jannik Presberger, Bjoern Andres
We propose a novel abstraction of the image segmentation task in the form of a combinatorial optimization problem that we call the multi-separator problem.
no code implementations • 16 Feb 2022 • Bjoern Andres, Silvia Di Gregorio, Jannik Irmai, Jan-Hendrik Lange
Recently, a lifting of multicuts from a graph $G = (V, E)$ to an augmented graph $\hat G = (V, E \cup F)$ has been proposed in the field of image analysis, with the goal of obtaining a more expressive characterization of graph decompositions in which it is made explicit also for pairs $F \subseteq \tbinom{V}{2} \setminus E$ of non-neighboring nodes whether these are in the same or distinct components.
no code implementations • 4 Feb 2022 • Paul Swoboda, Bjoern Andres, Andrea Hornakova, Florian Bernard, Jannik Irmai, Paul Roetzer, Bogdan Savchynskyy, David Stein, Ahmed Abbas
In order to facilitate algorithm development for their numerical solution, we collect in one place a large number of datasets in easy to read formats for a diverse set of problem classes.