1 citations · 2 across the 5 of their papers we have counts for
5 papers
Fast and Asymptotically Powerful Detection for Filamentary Objects in Digital Images
Kai Ni, Shanshan Cao, Xiaoming Huo
Given an inhomogeneous chain embedded in a noisy image, we consider the conditions under which such an embedded chain is detectable. Many applications, such as detecting moving obj…
Asymptotic convergence rate of the longest run in an inflating Bernoulli net
Kai Ni, Shanshan Cao, Xiaoming Huo
In image detection, one problem is to test whether the set, though mostly consisting of uniformly scattered points, also contains a small fraction of points sampled from some (a pr…
Optimal Shape Control via Loss for Composite Fuselage Assembly
Juan Du, Shanshan Cao, Jeffrey H. Hunt +1
Shape control is critical to ensure the quality of composite fuselage assembly. In current practice, the structures are adjusted to the design shape in terms of the loss f…
A Unifying Framework of High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularizations
Shanshan Cao, Xiaoming Huo, Jong-Shi Pang
Under the linear regression framework, we study the variable selection problem when the underlying model is assumed to have a small number of nonzero coefficients (i.e., the underl…
Dynamic change-point detection using similarity networks
Shanshan Cao, Yao Xie
From a sequence of similarity networks, with edges representing certain similarity measures between nodes, we are interested in detecting a change-point which changes the statistic…