755 citations · 4.3k across the 133 of their papers we have counts for
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stat.ML2017★ 1 cited
Informed Non-convex Robust Principal Component Analysis with Features
Niannan Xue, Jiankang Deng, Yannis Panagakis +1
We revisit the problem of robust principal component analysis with features acting as prior side information. To this aim, a novel, elegant, non-convex optimization approach is pro…
stat.ML2017
Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling
Mehdi Bahri, Yannis Panagakis, Stefanos Zafeiriou
Dictionary learning and component analysis are part of one of the most well-studied and active research fields, at the intersection of signal and image processing, computer vision,…