10 citations · 15 across the 4 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2015
Robust Structured Low-Rank Approximation on the Grassmannian
Clemens Hage, Martin Kleinsteuber
Over the past years Robust PCA has been established as a standard tool for reliable low-rank approximation of matrices in the presence of outliers. Recently, the Robust PCA approac…
stat.ML2012★ 5 cited
Robust PCA and subspace tracking from incomplete observations using L0-surrogates
Clemens Hage, Martin Kleinsteuber
Many applications in data analysis rely on the decomposition of a data matrix into a low-rank and a sparse component. Existing methods that tackle this task use the nuclear norm an…