Gordon J. Berman

Computer Vision and Pattern Recognition · 2007–2013

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Gordon J. Berman trusts overall

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

  1. John F. Canny
  2. Ingrid Daubechies
  3. Manoj Srinivasan
  4. Sam T. Roweis
  5. Lexiang Ye
  6. M. Guizar‐Sicairos
  7. Josh Tenenbaum
  8. Andy Ruina
  9. Lawrence K. Saul
  10. Eamonn J. Keogh

Who trusts Gordon J. Berman overall

  1. Haithem E. Taha
  2. Muhammad R. Hajj
  3. Bret K. Stanford
  4. Philip S. Beran
  5. Allon Wagner
  6. Ali H. Nayfeh
  7. Talmo D. Pereira
  8. Sandeep R. Datta
  9. Tanmay Nath
  10. Josh Merel

Papers from Gordon J. Berman's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Nonlinear dimensionality reduction by locally linear embedding.
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. A global geometric framework for nonlinear dimensionality reduction.
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers