443 citations · 937 across the 36 of their papers we have counts for
36 papers
Harvesting Ambient RF for Presence Detection Through Deep Learning
Yang Liu, Tiexing Wang, Yuexin Jiang +1
This paper explores the use of ambient radio frequency (RF) signals for human presence detection through deep learning. Using WiFi signal as an example, we demonstrate that the cha…
Asymptotically Optimal One- and Two-Sample Testing with Kernels
Shengyu Zhu, Biao Chen, Zhitang Chen +1
We characterize the asymptotic performance of nonparametric one- and two-sample testing. The exponential decay rate or error exponent of the type-II error probability is used as th…
K-medoids Clustering of Data Sequences with Composite Distributions
Tiexing Wang, Qunwei Li, Donald J. Bucci +3
This paper studies clustering of data sequences using the k-medoids algorithm. All the data sequences are assumed to be generated from \emph{unknown} continuous distributions, whic…
Exponentially Consistent Kernel Two-Sample Tests
Shengyu Zhu, Biao Chen, Zhitang Chen
Given two sets of independent samples from unknown distributions and , a two-sample test decides whether to reject the null hypothesis that . Recent attention has focus…
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
Shengyu Zhu, Biao Chen, Pengfei Yang +1
We characterize the asymptotic performance of nonparametric goodness of fit testing. The exponential decay rate of the type-II error probability is used as the asymptotic performan…
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime
Qunwei Li, Tiexing Wang, Donald J. Bucci +3
We investigate the nonparametric, composite hypothesis testing problem for arbitrary unknown distributions in the asymptotic regime where both the sample size and the number of hyp…