Ke Yan

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Yan trusts

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

  1. Chih-Jen Lin (in Computer Vision and Pattern Recognition)
  2. Gitta Kutyniok (in Computational Mechanics)

Papers from Ke Yan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. LIBSVM: A library for support vector machines
  3. Caltech-256 Object Category Dataset
  4. Locality Preserving Projections
  5. Columbia Object Image Library (COIL100)
  6. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
  7. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
  8. On feature combination for multiclass object classification (IEEE International Conference on Computer Vision)
  9. Robust principal component analysis?
  10. Compressed Sensing

Their papers