David M. Strong

Computer Vision and Pattern Recognition · 2003

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom David M. Strong trusts overall

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

  1. Stanley J. Osher
  2. Mila Nikolova
  3. Tony F. Chan
  4. Enno Mammen
  5. Giovanni Bellettini

Who trusts David M. Strong overall

  1. Tony F. Chan
  2. Daniel J. Perrone
  3. Selim Esedoglu
  4. Stanley J. Osher
  5. Terrence Chen
  6. Taiping Zhang
  7. Wotao Yin
  8. Martin Burger
  9. Paolo Favaro
  10. Charles-Alban Deledalle

Papers from David M. Strong's perspective

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

  1. Nonlinear total variation based noise removal algorithms
  2. Local Strong Homogeneity of a Regularized Estimator (SIAM Journal on Applied Mathematics)
  3. The Total Variation Flow in RN
  4. Some qualitative properties for the total variation flow
  5. Locally adaptive regression splines
  6. Functions of Bounded Variation and Free Discontinuity Problems
  7. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
  8. Convex analysis and variational problems
  9. Active contours without edges
  10. Edge-preserving and scale-dependent properties of total variation regularization

Their papers