Yanling Duan

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yanling Duan trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Marius Muja (in Computer Vision and Pattern Recognition)

Papers from Yanling Duan's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. An Algorithm for Finding Best Matches in Logarithmic Expected Time
  6. Identifying Mislabeled Training Data
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  9. Identifying and Eliminating Mislabeled Training Instances
  10. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm

Their papers