James H. Elder

Computer Vision and Pattern Recognition · 2002–2012

A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 134 researchers here, as inferred from the citation graph.

Subfields

Whom James H. Elder trusts overall

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

  1. F. Attneave
  2. David J. Field
  3. Peter N. Belhumeur
  4. David Mumford
  5. Wilson S. Geisler
  6. Barbara Olshausen
  7. David G. Lowe
  8. David R. Martin
  9. Carsten Rother
  10. Geoffrey E. Hinton

Who trusts James H. Elder overall

  1. Daniel J. Kersten
  2. Johan Wagemans
  3. Daniel Garcia-Romero
  4. Changxing Ding
  5. Wenguan Wang
  6. Florin Curelaru
  7. Ming Li
  8. Frank Jäkel
  9. O. Le Meur
  10. Xiaofeng Ren

Papers from James H. Elder's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers