Joseph W. Goodman

IEEE Transactions on Image Processing · 1969–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Joseph W. Goodman trusts overall

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

  1. Stéphane Mallat

Who trusts Joseph W. Goodman overall

  1. Yanhua Shih
  2. E. Jumper
  3. Yair Rivenson
  4. Eyal Buks
  5. Ayman Alfalou
  6. Hamid R. Sheikh
  7. Michael Hirsch
  8. Stefan Harmeling
  9. Yunzhe Li
  10. Fabrizio Tamburini

Papers from Joseph W. Goodman's perspective

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

  1. Bayesian inference in statistical analysis
  2. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  3. Exact Matrix Completion via Convex Optimization
  4. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  5. Tiled convolutional neural networks
  6. Exploring Strategies for Training Deep Neural Networks
  7. Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges
  8. Scattering Networks for Hybrid Representation Learning
  9. Matching pursuits with time-frequency dictionaries
  10. Inpainting and Zooming Using Sparse Representations (Computer/law journal)

Their papers