Yan Li

Computer Vision and Pattern Recognition · with Shum · 2002

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Li trusts overall

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

  1. Lawrence R. Rabiner
  2. Jeremy S. De Bonet
  3. Katherine Pullen
  4. Arthur P. Dempster
  5. Aphrodite Galata
  6. Gianfranco Doretto
  7. C. Bregler
  8. Nan M. Laird
  9. Neil Johnson
  10. Alessandro Chiuso

Who trusts Yan Li overall

  1. Graham W. Taylor
  2. Ce Liu
  3. Jinxiang Chai
  4. Alla Safonova
  5. Jessica K. Hodgins
  6. Geoffrey E. Hinton
  7. Eugene Hsu
  8. Keith Grochow
  9. Jingwei Xu
  10. Sam T. Roweis

Papers from Yan Li's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. A tutorial on hidden Markov models and selected applications in speech recognition
  5. Neural Networks for Pattern Recognition
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Interactive motion generation from examples (ACM Transactions on Graphics)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers