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pro vyhledávání: '"Storandt, Sabine"'
In bi-criteria optimization problems, the goal is typically to compute the set of Pareto-optimal solutions. Many algorithms for these types of problems rely on efficient merging or combining of partial solutions and filtering of dominated solutions i
Externí odkaz:
http://arxiv.org/abs/2409.10232
Autor:
Blum, Johannes, Storandt, Sabine
Hub Labeling (HL) is one of the state-of-the-art preprocessing-based techniques for route planning in road networks. It is a special incarnation of distance labeling, and it is well-studied in both theory and practice. The core concept of HL is to as
Externí odkaz:
http://arxiv.org/abs/2208.08709
Autor:
Storandt, Sabine, Zink, Johannes
Given a polyline on $n$ vertices, the polyline simplification problem asks for a minimum size subsequence of these vertices defining a new polyline whose distance to the original polyline is at most a given threshold under some distance measure, usua
Externí odkaz:
http://arxiv.org/abs/2201.01344
The Polyline Bundle Simplification (PBS) problem is a generalization of the classical polyline simplification problem. Given a set of polylines, which may share line segments and points, PBS asks for the smallest consistent simplification of these po
Externí odkaz:
http://arxiv.org/abs/2108.10790
We propose and study a generalization to the well-known problem of polyline simplification. Instead of a single polyline, we are given a set of $\ell$ polylines possibly sharing some line segments and bend points. Our goal is to minimize the number o
Externí odkaz:
http://arxiv.org/abs/1907.05296
We present LOOM (Line-Ordering Optimized Maps), a fully automatic generator of geographically accurate transit maps. The input to LOOM is data about the lines of a given transit network, namely for each line, the sequence of stations it serves and th
Externí odkaz:
http://arxiv.org/abs/1710.02226
Publikováno v:
it - Information Technology. 64:181-191
The analysis of movement trajectories plays a central role in many application areas, such as traffic management, sports analysis, and collective behavior research, where large and complex trajectory data sets are routinely collected these days. Whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de9a641f260b572490818e630be1975
https://doi.org/10.1515/itit-2022-0036
https://doi.org/10.1515/itit-2022-0036
Akademický článek
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Publikováno v:
Journal of Visualization; Oct2023, Vol. 26 Issue 5, p1173-1187, 15p
Autor:
Paetzold, Patrick, Kehlbeck, Rebecca, Strobelt, Hendrik, Xue, Yumeng, Storandt, Sabine, Deussen, Oliver
Publikováno v:
Computer Graphics Forum; Jun2023, Vol. 42 Issue 3, p87-98, 12p, 7 Diagrams, 1 Chart, 1 Graph