activity
20162022
most citedDynamic grain models via fast heuristics for diagram representations

7 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2022

Turning grain maps into diagrams

Andreas Alpers, Maximilian Fiedler, Peter Gritzmann +1

The present paper studies mathematical models for representing, imaging, and analyzing polycrystalline materials. We introduce various techniques for converting grain maps into dia…

physics.comp-ph2022★ 7 cited

Dynamic grain models via fast heuristics for diagram representations

Andreas Alpers, Maximilian Fiedler, Peter Gritzmann +1

The present paper introduces a mathematical model for studying dynamic grain growth. In particular, we show how characteristic measurements, grain volumes, centroids, and central s…

math.OC2022

On resolution coresets for constrained clustering

Maximilian Fiedler, Peter Gritzmann, Fabian Klemm

Specific data compression techniques, formalized by the concept of coresets, proved to be powerful for many optimization problems. In fact, while tightly controlling the approximat…

cs.DS2022★ 1 cited

Coresets for Weight-Constrained Anisotropic Assignment and Clustering

Maximilian Fiedler, Peter Gritzmann

The present paper constructs coresets for weight-constrained anisotropic assignment and clustering. In contrast to the well-studied unconstrained least-squares clustering problem,…

cs.CV2020★ 2 cited

Power-SLIC: Fast Superpixel Segmentations by Diagrams

Maximilian Fiedler, Andreas Alpers

Superpixel algorithms grouping pixels with similar color and other low-level properties are increasingly used for pre-processing in image segmentation. In recent years, a focus has…

cs.RO2016★ 2 cited

ML-based tactile sensor calibration: A universal approach

Maximilian Karl, Artur Lohrer, Dhananjay Shah +5

We study the responses of two tactile sensors, the fingertip sensor from the iCub and the BioTac under different external stimuli. The question of interest is to which degree both…