Jean-Jacques Fuchs

Computational Mechanics · 2004–2011

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-Jacques Fuchs trusts overall

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

  1. Joel A. Tropp
  2. David L. Donoho
  3. Roger Fletcher
  4. Michael Elad
  5. Scott Shaobing Chen
  6. Bradley Efron
  7. Rémi Gribonval
  8. Trevor J. Hastie
  9. Alfred Marcel Bruckstein
  10. Xiaoming Huo

Who trusts Jean-Jacques Fuchs overall

  1. David L. Donoho
  2. E.J. Candes
  3. David Paul Wipf
  4. B. Recht
  5. Justin K. Romberg
  6. Joel A. Tropp
  7. Paul Tseng
  8. Rémi Gribonval
  9. Julien Mairal
  10. Terence Tao

Papers from Jean-Jacques Fuchs's perspective

Ordered by how strongly the researchers Jean-Jacques Fuchs trusts endorse each paper. Same corpus, a different order for every researcher.

  1. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
  2. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
  3. GRASSMANNIAN FRAMES WITH APPLICATIONS TO CODING AND COMMUNICATION
  4. Atomic Decomposition by Basis Pursuit
  5. Uncertainty principles and ideal atomic decomposition
  6. Stable recovery of sparse overcomplete representations in the presence of noise
  7. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  8. Decoding by linear programming
  9. Sparse Approximate Solutions to Linear Systems
  10. A generalized uncertainty principle and sparse representation in pairs of bases (IEEE Transactions on Information Theory)

Their papers