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Grant Technology (China)

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1 paper here11 citations across 1
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  • eess.SP1
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most citedMemory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach

11 citations

researchers with a paper here
  • Ruiyuan Wu1 · h 8
  • Tri Nguyen1 · h 4
  • Xiao Fu1 · h 33
collaborating institutions
  • Chinese University of Hong KongHK1 paper
  • Oregon State UniversityUS1 paper
  • University of Hong KongHK1 paper

1 paper

eess.SP2021★ 11 cited

Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach

Tri Nguyen, Xiao Fu, Ruiyuan Wu

Nonnegative matrix factorization (NMF) often relies on the separability condition for tractable algorithm design. Separability-based NMF is mainly handled by two types of approache…

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