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Weighted Nuclear Norm Minimization With Application

Found 2 free book(s)
Robust Principal Component Analysis? - Columbia University

Robust Principal Component Analysis? - Columbia University

www.columbia.edu

decompositions, simply minimize a weighted combination of the nuclear norm and of the 1 norm. This sug- ... In such application domains, data now routinely lie in thousands ... 1972], alternating minimization [Ke and Kanade 2005], and random sampling tech-

  Applications, University, Nuclear, Columbia university, Columbia, Norm, Weighted, Minimization, Nuclear norm

arXiv:1912.13171v4 [eess.IV] 3 Aug 2020

arXiv:1912.13171v4 [eess.IV] 3 Aug 2020

arxiv.org

cluding the Markov random field (MRF) [184], the weighted nuclear norm minimization (WNNM) [69], learned simultaneous sparse coding (LSSC) [150], cascade of shrinkage fields (CSF) [184], trainable nonlinear reaction diffusion (TNRD) [35] and gradient histogram estimation and preser-vation (GHEP) [275].

  Nuclear, Norm, Weighted, Minimization, Weighted nuclear norm minimization

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Columbia University, Weighted, Nuclear norm, Norm, Application, Minimization, Weighted nuclear norm minimization