Dong-yun Yi

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dong-yun Yi trusts overall

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

  1. Huan Liu
  2. Feiping Nie
  3. Zheng Zhao
  4. Xiaofei He
  5. Deng Cai

Papers from Dong-yun Yi's perspective

Ordered by how strongly the researchers Dong-yun Yi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. Nonlinear dimensionality reduction by locally linear embedding.
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Wrappers for Feature Subset Selection
  7. An Introduction to Variable and Feature Selection
  8. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Feature Selection for Unsupervised Learning (Journal of machine learning research)

Their papers