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西北工业大学 国内
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Iteratively Capped Reweighting Norm Minimization With Global Convergence Guarantee for Low-Rank Matrix Learning
Zhi Wang, Dong Hu, Zhuo Liu,
Chao Gao
,
Zhen Wang
光电与智能研究院
网络空间安全学院
Southwest University
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Engineering
Computervision
100%
Convergence Property
100%
Image Inpainting
100%
Mild Condition
100%
Optimization Approach
100%
Rank Function
100%
Singular Value
100%
Subproblem
100%
Computer Science
Computational Efficiency
50%
Convergence Property
50%
Global Convergence
100%
Image Inpainting
50%
Mild Condition
50%
Popular Approach
50%
Singular Value
50%
Mathematics
Closed Form
16%
Complete Matrix
16%
Convergence Property
16%
Global Optimum
16%
Singular Value
16%
Subproblem
16%