Kazuki Nakashima

Pattern Recognition · 2003–2004

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Kazuki Nakashima trusts overall

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

  1. Vladimir Naumovich Vapni
  2. C. Burges
  3. David E. Rumelhart
  4. Serge J. Belongie
  5. Yann LeCun
  6. Chenglin Liu
  7. Geoffrey E. Hinton

Who trusts Kazuki Nakashima overall

  1. Jamshed Memon
  2. Chenglin Liu
  3. Lukás Neumann
  4. Zhuoyao Zhong
  5. Maira Sami
  6. Rahul Chauhan
  7. H. Kusetogullari
  8. Yanzhao Zhou
  9. Asifullah Khan

Papers from Kazuki Nakashima's perspective

Ordered by how strongly the researchers Kazuki Nakashima 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. Neural Networks for Pattern Recognition
  5. The Nature of Statistical Learning Theory
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Shape Matching and Object Recognition Using Shape Contexts

Their papers