Yi Wu

Computer Vision and Pattern Recognition · with Hou · 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 Yi Wu trusts overall

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

  1. Huan Liu
  2. Feiping Nie
  3. Zheng Zhao

Papers from Yi Wu's perspective

Ordered by how strongly the researchers Yi Wu 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. Wrappers for Feature Subset Selection
  4. An Introduction to Variable and Feature Selection
  5. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
  6. Feature Selection for Unsupervised Learning (Journal of machine learning research)
  7. Spectral feature selection for supervised and unsupervised learning (International Conference on Machine Learning)
  8. Laplacian Score for Feature Selection (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Toward integrating feature selection algorithms for classification and clustering (IEEE Transactions on Knowledge and Data Engineering)

Their papers