21 citations · 47 across the 5 of their papers we have counts for
5 papers
On Robust Wasserstein Barycenter: The Model and Algorithm
Xu Wang, Jiawei Huang, Qingyuan Yang +1
The Wasserstein barycenter problem is to compute the average of given probability measures, which has been widely studied in many different areas; however, real-world data sets…
Fast Landmark Subspace Clustering
Xu Wang, Gilad Lerman
Kernel methods obtain superb performance in terms of accuracy for various machine learning tasks since they can effectively extract nonlinear relations. However, their time complex…
Spectral Convergence Rate of Graph Laplacian
Xu Wang
Laplacian Eigenvectors of the graph constructed from a data set are used in many spectral manifold learning algorithms such as diffusion maps and spectral clustering. Given a graph…
Nonparametric Bayesian Regression on Manifolds via Brownian Motion
Xu Wang, Gilad Lerman
This paper proposes a novel framework for manifold-valued regression and establishes its consistency as well as its contraction rate. It assumes a predictor with values in the inte…
Riemannian Multi-Manifold Modeling
Xu Wang, Konstantinos Slavakis, Gilad Lerman
This paper advocates a novel framework for segmenting a dataset in a Riemannian manifold into clusters lying around low-dimensional submanifolds of . Important examples of $…