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SCHENO: Measuring Schema vs. Noise in Graphs
Justus Isaiah Hibshman, Adnan Hoq, Tim Weninger
https://arxiv.org/abs/2404.13489 https://

SCHENO: Measuring Schema vs. Noise in Graphs
Real-world data is typically a noisy manifestation of a core pattern ("schema"), and the purpose of data mining algorithms is to uncover that pattern, thereby splitting (i.e. "decomposing") the data into schema and noise. We introduce SCHENO, a principled evaluation metric for the goodness of a schema-noise decomposition of a graph. SCHENO captures how schematic the schema is, how noisy the noise is, and how well the combination of the two represent the original graph data. We visually demonstr…

Vulnerable Road User Clustering for Collective Perception Messages: Efficient Representation Through Geometric Shapes
Edmir Xhoxhi, Vincent Albert Wolff, Yao Li, Florian Alexander Schiegg
https://arxiv.org/abs/2404.14925

Vulnerable Road User Clustering for Collective Perception Messages: Efficient Representation Through Geometric Shapes
Ensuring the safety of Vulnerable Road Users (VRUs) is a critical concern in transportation, demanding significant attention from researchers and engineers. Recent advancements in Vehicle-to-Everything (V2X) technology offer promising solutions to enhance VRU safety. Notably, VRUs often travel in groups, exhibiting similar movement patterns that facilitate the formation of clusters. The standardized Collective Perception Message (CPM) and VRU Awareness Message in ETSI's Release 2 consider this …

Vulnerable Road User Clustering for Collective Perception Messages: Efficient Representation Through Geometric Shapes
Edmir Xhoxhi, Vincent Albert Wolff, Yao Li, Florian Alexander Schiegg
https://arxiv.org/abs/2404.14925

Vulnerable Road User Clustering for Collective Perception Messages: Efficient Representation Through Geometric Shapes
Ensuring the safety of Vulnerable Road Users (VRUs) is a critical concern in transportation, demanding significant attention from researchers and engineers. Recent advancements in Vehicle-to-Everything (V2X) technology offer promising solutions to enhance VRU safety. Notably, VRUs often travel in groups, exhibiting similar movement patterns that facilitate the formation of clusters. The standardized Collective Perception Message (CPM) and VRU Awareness Message in ETSI's Release 2 consider this …