Lawrence W. Stark

IEEE Transactions on Pattern Analysis and Machine Intelligence · 2000

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Whom Lawrence W. Stark trusts overall

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

  1. Ingrid Daubechies
  2. John F. Canny

Who trusts Lawrence W. Stark overall

  1. Laurent Itti
  2. O. Le Meur
  3. Tilke Judd
  4. Guan-Hao Chen
  5. Parag Kumar Mital
  6. Pierre Baldi
  7. Thierry Baccino
  8. Ali Borji
  9. Zhou Wang

Papers from Lawrence W. Stark's perspective

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

  1. Ten Lectures on Wavelets
  2. A Computational Approach to Edge Detection
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Representation Learning with Contrastive Predictive Coding
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers