Matthew R. Boutell

Pattern Recognition · 2004

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Whom Matthew R. Boutell trusts overall

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

  1. Thorsten Joachims
  2. C. Burges
  3. Robert E. Schapire
  4. Dorin Comaniciu
  5. Amanda Clare
  6. Zhuowen Tu
  7. Yoram Singer
  8. Peter Meer
  9. Ross D. King
  10. Fabrizio Sebastiani

Who trusts Matthew R. Boutell overall

  1. Min-Ling Zhang
  2. Zhi-Hua Zhou
  3. Francisco Charte
  4. Grigorios Tsoumakas
  5. Sun-Yuan Kung
  6. Yu Zhang
  7. Weiwei Cheng
  8. Maxime Cauchois
  9. Yin Zhang
  10. Antonio Jesús Rivera

Papers from Matthew R. Boutell's perspective

Ordered by how strongly the researchers Matthew R. Boutell 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. Attention is All you Need (Neural Information Processing Systems)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers