2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Geometric bias in eigenspace perturbation under random heterogeneous noise
Fengkai Liu, Ke Wang, Wanjie Wang
Spectral methods rely on the stability of principal eigenspaces under random perturbations. Classically, this is quantified by the Davis-Kahan and Wedin theorems, which bound the e…
Inlier Recovery for Robust Registration via Gram-Matrix Overlap
Ruizi Wu, Yuehaw Khoo, Wanjie Wang
Robust point-set registration in the presence of noise and outliers is challenging because the matched points (inliers) must be identified before reliable alignment can be performe…
Community Detection on Inhomogeneous Multilayer Networks with Extreme Sparsity
Tao Shen, Wanjie Wang
We study layer-specific community detection in an -layer network on a common set of nodes. Because modern networks are constructed from multi-modal d…
i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
Chen Ma, Wanjie Wang, Shuhao Fan
Unsupervised learning of high-dimensional data is challenging due to irrelevant or noisy features obscuring underlying structures. It's common that only a few features, called the…