David J. Crisp

1999

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

Whom David J. Crisp trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Bernhard Schölkopf

Who trusts David J. Crisp overall

  1. Ingo Steinwart

Papers from David J. Crisp's perspective

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

  1. Matrix analysis
  2. New Support Vector Algorithms
  3. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
  4. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
  5. Improving the accuracy and speed of support vector learning machines
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers