Edmund Y. Lam

IEEE Transactions on Image Processing · 2000

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Edmund Y. Lam trusts overall

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

  1. Stéphane Mallat

Who trusts Edmund Y. Lam overall

  1. Hamid R. Sheikh
  2. A. Bovik
  3. Shruti Agarwal
  4. Daniel Zoran
  5. Lawrence K. Cormack
  6. Gustavo De Veciana

Papers from Edmund Y. Lam's perspective

Ordered by how strongly the researchers Edmund Y. Lam 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Histograms of oriented gradients for human detection
  5. GradientBased Learning Applied to Document Recognition
  6. Backpropagation Applied to Handwritten Zip Code Recognition
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. This PDF file includes: Materials and Methods
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers