Noriko Takemura

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noriko Takemura trusts overall

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

  1. Yasushi Makihara
  2. Ju Han
  3. Haruyuki Iwama
  4. Chen Wang
  5. Kohei Shiraga
  6. Bir Bhanu
  7. Yasushi Yagi
  8. Geoffrey E. Hinton
  9. Mayu Okumura

Who trusts Noriko Takemura overall

  1. Hanqing Chao
  2. Torben Teepe
  3. Chao Fan

Papers from Noriko Takemura's perspective

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

  1. A Fast Learning Algorithm for Deep Belief Nets
  2. ImageNet classification with deep convolutional neural networks
  3. Large-Scale Video Classification with Convolutional Neural Networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  7. Individual recognition using gait energy image
  8. 3D Convolutional Neural Networks for Human Action Recognition
  9. A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition (International Conference on Pattern Recognition)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers