Walking the Dog Fast in Practice: Algorithm Engineering of the Fr\'echet Distance

K Bringmann, M Künnemann, A Nusser - arXiv preprint arXiv:1901.01504, 2019 - arxiv.org
The Fr\'echet distance provides a natural and intuitive measure for the popular task of
computing the similarity of two (polygonal) curves. While a simple algorithm computes it in …

Achieving privacy-preserving discrete frechet distance range queries

Y Guan, R Lu, Y Zheng, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advances in Internet of Things, Big Data, and machine learning technologies have
greatly transformed our daily lives into much more intelligent ones by offering various …

On discovering motifs and frequent patterns in spatial trajectories with discrete Fréchet distance

B Tang, ML Yiu, K Mouratidis, J Zhang, K Wang - GeoInformatica, 2022 - Springer
The discrete Fréchet distance (DFD) captures perceptual and geographical similarity
between two trajectories. It has been successfully adopted in a multitude of applications …

Fine-grained complexity and algorithm engineering of geometric similarity measures

A Nusser - 2021 - publikationen.sulb.uni-saarland.de
Point sets and sequences are fundamental geometric objects that arise in any application
that considers movement data, geometric shapes, and many more. A crucial task on these …