Pierre Buyssens

2012

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Pierre Buyssens trusts overall

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

  1. Naonori Ueda
  2. Claus Nebauer
  3. David H. Hubel

Who trusts Pierre Buyssens overall

  1. Ling Zhang
  2. Dan Xu
  3. Le Lu
  4. Saining Xie

Papers from Pierre Buyssens's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
  3. Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
  4. Textons, the elements of texture perception, and their interactions
  5. Evaluation of convolutional neural networks for visual recognition
  6. Optimal Linear Combination of Neural Networks for Improving Classification Performance
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Histograms of oriented gradients for human detection

Their papers