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math.NA2013★ 368 cited
Parallel matrix factorization for low-rank tensor completion
Yangyang Xu, Ruru Hao, Wotao Yin +1
Higher-order low-rank tensors naturally arise in many applications including hyperspectral data recovery, video inpainting, seismic data recon- struction, and so on. We propose a n…
math.NA2011★ 28 cited
Solving Principal Component Pursuit in Linear Time via Filtering
Risheng Liu, Zhouchen Lin, Siming Wei +1
In the past decades, exactly recovering the intrinsic data structure from corrupted observations, which is known as robust principal component analysis (RPCA), has attracted tremen…