3 papers
stat.ME2025
A Robust Framework for Graph-based Two-Sample Tests Using Weights
Yichuan Bai, Lynna Chu
Graph-based tests are a class of non-parametric two-sample tests useful for analyzing high-dimensional data. The test statistics are constructed from similarity graphs (such as K-m…
stat.ME2025
Adaptive Block-Based Change-Point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging
Alan Moore, Lynna Chu, Zhengyuan Zhu
We present a non-parametric change-point detection approach to detect potentially sparse changes in a time series of high-dimensional observations or non-Euclidean data objects. We…
cs.CV2024
DeepLocalization: Using change point detection for Temporal Action Localization
Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu +1
In this study, we introduce DeepLocalization, an innovative framework devised for the real-time localization of actions tailored explicitly for monitoring driver behavior. Utilizin…