Philipp Michel

Computer Vision and Pattern Recognition · 2003

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Michel trusts overall

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

  1. Thorsten Joachims
  2. Takeo Kanade
  3. Alexander Zien
  4. Yuhai Wu
  5. Vladimir Naumovich Vapni
  6. Ying-li Tian
  7. Tim Dalgleish
  8. Jeffrey F. Cohn
  9. Paul A. Viola
  10. Bernhard E. Boser

Who trusts Philipp Michel overall

  1. Irene Kotsia
  2. Rana El Kaliouby
  3. Jeremy N. Bailenson
  4. Vinay Bettadapura
  5. Ioannis Pitas
  6. Peter Robinson
  7. Emmanuel D. Pontikakis

Papers from Philipp Michel's perspective

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

  1. The Nature of Statistical Learning Theory
  2. A training algorithm for optimal margin classifiers
  3. ImageNet classification with deep convolutional neural networks
  4. Statistical Learning Theory
  5. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Histograms of oriented gradients for human detection
  10. Comprehensive database for facial expression analysis (Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580))

Their papers