Results 241 to 250 of about 256,484 (256)

Low rank matrix completion

2009
We consider the problem of recovering a low rank matrix given a sampling of its entries. Such problems are of considerable interest in a diverse set of fields including control, system identification, statistics and signal processing. Although the general low rank matrix completion problem is NP-hard, there exist several heuristic methods that solve ...
openaire   +1 more source

On the rank deficiency and rank augmentation of the spectral measurement matrix

Chemometrics and Intelligent Laboratory Systems, 1996
Dominique Bonvin
exaly  

Rank-Sparsity Incoherence for Matrix Decomposition

SIAM Journal on Optimization, 2011
Pablo A Parrilo, Sujay Sanghavi, Alan S Willsky   +2 more
exaly  

Inferring the rank of a matrix

Journal of Econometrics, 1997
Stephen G Donald
exaly  

Rank-One Matrix Approximation With ℓ p -Norm for Image Inpainting

IEEE Signal Processing Letters, 2020
Qi Liu, Hing Cheung So, Xiao Peng Li
exaly  

Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization

IEEE Transactions on Neural Networks and Learning Systems, 2018
, Haiping Lu, Qiquan Shi
exaly  

Rank adaptive atomic decomposition for low-rank matrix completion and its application on image recovery

Neurocomputing, 2014
Yi-Gang Cen, Hengyou Wang, Ruizhen Zhao   +2 more
exaly  

Iterative partial matrix shrinkage algorithm for matrix rank minimization

Signal Processing, 2014
Kazunori Uruma, Tomohiro Takahashi, Katsumi Konishi   +2 more
exaly  

Decreasing the Displacement Rank of a Matrix

SIAM Journal on Matrix Analysis and Applications, 1993
VÍCTOR Pan
exaly  

Exact recovery low-rank matrix via transformed affine matrix rank minimization

Neurocomputing, 2018
Haiyang Li, Jigen Peng, Angang Cui
exaly