G. Viguier

Computational Mechanics · 2015

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom G. Viguier trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. E.J. Candes
  2. Mauricio D. Sacchi
  3. Yurii E. Nesterov
  4. Nadia Kreimer
  5. Daniel Trad
  6. Sheng Xu
  7. Long Chen
  8. Gilles Hennenfent
  9. Felix J. Herrmann
  10. Gene H. Golub

Papers from G. Viguier's perspective

Ordered by how strongly the researchers G. Viguier trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
  2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  3. Stable signal recovery from incomplete and inaccurate measurements
  4. A rank minimization heuristic with application to minimum order system approximation (Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148))
  5. Convex Optimization
  6. Smooth minimization of non-smooth functions
  7. Rank-Sparsity Incoherence for Matrix Decomposition (SIAM Journal on Optimization)
  8. The Power of Convex Relaxation: Near-Optimal Matrix Completion
  9. Robust principal component analysis?
  10. Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis

Their papers