T Fujita - preprint (researchgate), 2024 - researchgate.net
Graph theory, a fundamental branch of mathematics, centers on the study of networks composed of vertices (nodes) and edges, examining their paths, structures, and properties …
3D spatial perception is the problem of building and maintaining an actionable and persistent representation of the environment in real-time using sensor data and prior …
V Blažej, R Ganian, D Knop, J Pokorný… - Proceedings of the …, 2023 - ojs.aaai.org
Microaggregation is a classical statistical disclosure control technique which requires the input data to be partitioned into clusters while adhering to specified size constraints. We …
M Thiessen, T Gärtner - Advances in Neural Information …, 2021 - proceedings.neurips.cc
We systematically study the query complexity of learning geodesically convex halfspaces on graphs. Geodesic convexity is a natural generalisation of Euclidean convexity and allows …
The organizers of the 4th Parameterized Algorithms and Computational Experiments challenge (PACE 2019) report on the 4th iteration of the PACE challenge. This year, the first …
D Baker, V Braverman, L Huang… - International …, 2020 - proceedings.mlr.press
We initiate the study of coresets for clustering in graph metrics, ie, the shortest-path metric of edge-weighted graphs. Such clustering problems are essential to data analysis and used for …
In this paper, we introduce a novel algorithm to solve projected model counting (PMC). PMC asks to count solutions of a Boolean formula with respect to a given set of projection …
In indexing a graph for distance queries, distance labeling is a common practice; in particular, 2-hop labeling which guarantees the exactness of the query results is widely …
Given an undirected graph and a number of vertex groups, the group Steiner trees problem is to find a tree such that (i) this tree contains at least one vertex in each vertex group; and (ii) …