21 citations · 47 across the 5 of their papers we have counts for
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stat.ML2015★ 2 cited
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…
stat.ML2015★ 20 cited
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…
stat.ML2014★ 21 cited
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 $…