Oksam Chae

Computer Vision and Pattern Recognition · 2007–2013

A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Oksam Chae trusts overall

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

  1. Chih-Wei Hsu
  2. Caifeng Shan
  3. Peter N. Belhumeur
  4. Maja Pantic
  5. Robert E. Schapire
  6. Taskeed Jabid
  7. Chih-Jen Lin
  8. Paul Ekman
  9. Baochang Zhang
  10. Corinna Cortes

Who trusts Oksam Chae overall

  1. Wenhan Yang
  2. Adín Ramírez Rivera

Papers from Oksam Chae's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. A decision-theoretic generalization of on-line learning and an application to boosting
  4. Eigenfaces for Recognition
  5. Gradient-based learning applied to document recognition
  6. Support-Vector Networks
  7. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers