Takio Kurita

Computer Vision, A Reference Guide · 2014

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

Whom Takio Kurita trusts overall

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

  1. Radford M. Neal

Papers from Takio Kurita's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Regression Shrinkage and Selection via the Lasso
  4. The Nature of Statistical Learning Theory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Support-Vector Networks
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Neural Networks for Pattern Recognition
  10. GENERATIVE ADVERSARIAL NETS

Their papers