Mingjun Song

2004

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Whom Mingjun Song trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Vladimir Naumovich Vapni
  3. C. Burges
  4. Corinna Cortes
  5. Bernhard Schölkopf
  6. Thorsten Joachims

Who trusts Mingjun Song overall

  1. Zhengxin Zhang
  2. Young-Jin Cha
  3. Giorgos Mountrakis
  4. Guangliang Cheng
  5. Wooram Choi
  6. Qingjie Liu
  7. Jungho Im
  8. Ying Wang
  9. Oral Büyüköztürk
  10. Yunhong Wang

Papers from Mingjun Song's perspective

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

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

Their papers