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A general theory of rank testing [PDF]
, 2014 This paper demonstrates that all rank test statistics are functions of implicit null space estimators. The paper proposes a novel theory of null space estimation that allows for standard asymptotics, polynomial regressions, and cointegration asymptotics.
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Recent developments in drying and dewatering for low rank coals
Progress in Energy and Combustion Science, 2015Congliang Huang +2 more
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From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration
IEEE Transactions on Image Processing, 2020Ce Zhu, Jiachao Zhang, Zhiyuan Zha
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Rank Transformations as a Bridge between Parametric and Nonparametric Statistics
American Statistician, 1981Ronald L Iman, W J Conover
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On the rank deficiency and rank augmentation of the spectral measurement matrix
Chemometrics and Intelligent Laboratory Systems, 1996Dominique Bonvin
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Low CP Rank and Tucker Rank Tensor Completion for Estimating Missing Components in Image Data
IEEE Transactions on Circuits and Systems for Video Technology, 2020Ce Zhu, Zhen Long, Huyan Huang
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Comon's Conjecture, Rank Decomposition, and Symmetric Rank Decomposition of Symmetric Tensors
SIAM Journal on Matrix Analysis and Applications, 2016Xinzhen Zhang +2 more
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On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,RN) Approximation of Higher-Order Tensors
SIAM Journal on Matrix Analysis and Applications, 2000Lieven de Lathauwer, Joos Vandewalle
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A Riemannian rank-adaptive method for low-rank optimization
Neurocomputing, 2016Wen Huang +2 more
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