Aun Neow Poo

Neurocomputing · 2003–2012

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Whom Aun Neow Poo trusts overall

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

  1. Yuhai Wu
  2. C. Burges
  3. Corinna Cortes
  4. Gert Cauwenberghs
  5. Vladimir Naumovich Vapnik

Who trusts Aun Neow Poo overall

  1. Alain Rakotomamonjy
  2. Emilio Carrizosa
  3. Kuan-Yu Chen
  4. Teresa Klatzer
  5. Chin-Sheng Yu

Papers from Aun Neow Poo's perspective

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

  1. Support-Vector Networks
  2. Statistical Learning Theory
  3. A Tutorial on Support Vector Machines for Pattern Recognition
  4. Incremental and Decremental Support Vector Machine Learning
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. The Nature of Statistical Learning Theory
  8. Going deeper with convolutions
  9. Estimation of Dependences Based on Empirical Data
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers