Hiroshi Sako

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 Hiroshi Sako trusts overall

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

  1. Vladimir Naumovich Vapni
  2. C. Burges
  3. David E. Rumelhart

Who trusts Hiroshi Sako overall

  1. Jamshed Memon
  2. Chenglin Liu
  3. Lukás Neumann

Papers from Hiroshi Sako's perspective

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

  1. Neural Networks for Pattern Recognition
  2. The Nature of Statistical Learning Theory
  3. Shape Matching and Object Recognition Using Shape Contexts
  4. Comparison of learning algorithms for handwritten digit recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  7. ImageNet classification with deep convolutional neural networks
  8. A Tutorial on Support Vector Machines for Pattern Recognition
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers