D. Salem

2001

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

Whom D. Salem trusts overall

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

  1. Stéphane Mallat

Who trusts D. Salem overall

  1. J. Łojewska
  2. Krishna Kumar Pandey
  3. Shawn Mansfield
  4. P. Miśkowiec
  5. R. Rowell
  6. Bror Sundqvist
  7. Junlong Song
  8. J. Biagiotti
  9. T. Łojewski
  10. D. Nowakowski

Papers from D. Salem's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Histograms of oriented gradients for human detection
  3. GradientBased Learning Applied to Document Recognition
  4. Gradient-based learning applied to document recognition
  5. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  6. This PDF file includes: Materials and Methods
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Striving for Simplicity: The All Convolutional Net
  9. Building high-level features using large scale unsupervised learning
  10. Backpropagation Applied to Handwritten Zip Code Recognition

Their papers