Valérie R. Wajs

Computer Vision and Pattern Recognition · 2005

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 145 researchers here, as inferred from the citation graph.

Subfields

Whom Valérie R. Wajs trusts overall

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

  1. Patrick L. Combettes
  2. Constantin Zalinescu
  3. David L. Donoho
  4. Antonin Chambolle
  5. Ingrid Daubechies
  6. Jean-François Aujol
  7. Stanley J. Osher
  8. Stéphane Mallat
  9. Mário A. T. Figueiredo
  10. R. Tyrrell Rockafellar

Who trusts Valérie R. Wajs overall

  1. Patrick L. Combettes
  2. Jian-Feng Cai
  3. Matthieu Kowalski
  4. Laurent Condat
  5. Antonin Chambolle
  6. Jean-Christophe Pesquet
  7. Xiaoqun Zhang
  8. José M. Bioucas-Dias
  9. Mário A. T. Figueiredo
  10. Hédy Attouch

Papers from Valérie R. Wajs's perspective

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

  1. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  2. A wavelet tour of signal processing
  3. Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing (Journal of Scientific Computing)
  4. Nonlinear total variation based noise removal algorithms
  5. Image Decomposition and Restoration Using Total Variation Minimization and the H1 (Multiscale Modeling & simulation)
  6. Monotone Operators and the Proximal Point Algorithm
  7. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations: The Fifteenth Dean Jacqueline B. Lewis Memorial Lectures
  8. Image Decomposition into a Bounded Variation Component and an Oscillating Component (Journal of Mathematical Imaging and Vision)
  9. An Algorithm for Total Variation Minimization and Applications (Journal of Mathematical Imaging and Vision)
  10. Nonlinear Wavelet Image Processing: Variational Problems, Compression, and Noise Removal through Wavelet Shrinkage *

Their papers