Jonathan Lester

Computer Vision and Pattern Recognition · 2005–2008

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Lester trusts overall

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

  1. Paul A. Viola
  2. Ling Bao
  3. Nicky Kern
  4. Alan M. Mainwaring
  5. Michael J. Jones
  6. Robert E. Schapire
  7. Stephen S. Intille
  8. David E. Culler
  9. Tanzeem Choudhury

Who trusts Jonathan Lester overall

  1. John W. Staudenmayer
  2. Diane Joyce Cook
  3. Stephen J. Preece
  4. Narayanan Chatapuram Krishnan
  5. Andreas Bulling
  6. Jennifer R. Kwapisz
  7. Xing Su
  8. Akram Bayat
  9. Tâm Huynh
  10. Daniele Riboni

Papers from Jonathan Lester's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Activity Recognition from User-Annotated Acceleration Data
  3. Multi-sensor Activity Context Detection for Wearable Computing (EUSAI)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Wireless sensor networks for habitat monitoring (ACM International Conference on Wireless Sensor Networks and Applications)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. A Hybrid Discriminative/Generative Approach for Modeling Human Activities (International Joint Conference on Artificial Intelligence)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers