Approximate Bayesian computation with the Wasserstein distance

E Bernton, PE Jacob, M Gerber… - Journal of the Royal …, 2019 - academic.oup.com
A growing number of generative statistical models do not permit the numerical evaluation of
their likelihood functions. Approximate Bayesian computation has become a popular …

Reducing the variability of multi-source reclaimed asphalt pavement materials: A practice in China

J Gao, J Yang, D Yu, Y Jiang, K Ruan, W Tao… - … and Building Materials, 2021 - Elsevier
The variability of reclaimed asphalt pavement (RAP) materials obtained from different
sources is a major concern for the industry when recycling RAP for recycled asphalt …

Jaywalking your dog: computing the Fréchet distance with shortcuts

A Driemel, S Har-Peled - SIAM Journal on Computing, 2013 - SIAM
The similarity of two polygonal curves can be measured using the Fréchet distance. We
introduce the notion of a more robust Fréchet distance, where one is allowed to shortcut …

[PDF][PDF] Inference in generative models using the Wasserstein distance

E Bernton, PE Jacob, M Gerber… - arXiv preprint arXiv …, 2017 - researchgate.net
A growing range of generative statistical models are such the numerical evaluation of their
likelihood functions is intractable. Approximate Bayesian computation and indirect inference …

Exact algorithms for partial curve matching via the Fréchet distance

K Buchin, M Buchin, Y Wang - Proceedings of the twentieth annual ACM-SIAM …, 2009 - SIAM
Curve matching is a fundamental problem that occurs in many applications. In this paper, we
study the problem of measuring partial similarity between curves. Specifically, given two …

The effect of time-varying operating condition on the crack induced impulses and its application to gearbox tooth crack diagnosis

X Yang, P Zhou, MJ Zuo, Z Tian, Z Peng - Mechanical Systems and Signal …, 2023 - Elsevier
Gearbox tooth crack diagnosis under Time-Varying Operating Conditions (TVOC) is a
challenging issue. TVOC induce both Amplitude Modulation (AM) and Frequency …

Path similarity analysis: a method for quantifying macromolecular pathways

SL Seyler, A Kumar, MF Thorpe… - PLoS computational …, 2015 - journals.plos.org
Diverse classes of proteins function through large-scale conformational changes and
various sophisticated computational algorithms have been proposed to enhance sampling …

Tight bounds for approximate near neighbor searching for time series under the Fréchet distance

K Bringmann, A Driemel, A Nusser, I Psarros - … of the 2022 Annual ACM-SIAM …, 2022 - SIAM
We study the c-approximate near neighbor problem under the continuous Fréchet distance:
Given a set of n polygonal curves with m vertices, a radius δ> 0, and a parameter k≤ m, we …

Approximating (k,ℓ)-Median Clustering for Polygonal Curves

M Buchin, A Driemel, D Rohde - ACM Transactions on Algorithms, 2023 - dl.acm.org
In 2015, Driemel, Krivošija, and Sohler introduced the k, ℓ-median clustering problem for
polygonal curves under the Fréchet distance. Given a set of input curves, the problem asks …

Tinba: Incremental partitioning for efficient trajectory analytics

R Tian, W Zhang, F Wang, K Polat, F Alenezi - Advanced Engineering …, 2023 - Elsevier
Applications with mobile and sensing devices have already become ubiquitous. In most of
these applications, trajectory data is continuously growing to huge volumes. Existing …