Hai Min

Computer Vision and Pattern Recognition · 2012

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

Subfields

Whom Hai Min trusts overall

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

  1. Guangcan Liu
  2. Jianbo Shi
  3. Ehsan Elhamifar
  4. Kuang-chih Lee
  5. John Wright

Who trusts Hai Min overall

  1. Canyi Lu
  2. Chong You

Papers from Hai Min's perspective

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

  1. Normalized cuts and image segmentation
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Sparse subspace clustering (2009 IEEE Conference on Computer Vision and Pattern Recognition)
  5. Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
  6. Acquiring linear subspaces for face recognition under variable lighting
  7. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
  8. Gradient-based learning applied to document recognition
  9. Robust Face Recognition via Sparse Representation
  10. Robust Subspace Segmentation by Low-Rank Representation (International Conference on Machine Learning)

Their papers