Enmei Tu

Representation & Self-Supervised Learning · 2015–2016

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

Subfields

Whom Enmei Tu trusts overall

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

  1. Teuvo Kohonen
  2. Johan A. K. Suykens
  3. Shuzhi Sam Ge
  4. Giuliana Pallotta
  5. Joos Vandewalle
  6. Finn Verner Jensen
  7. Nils J. Nilsson
  8. Michele Vespe

Papers from Enmei Tu's perspective

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

  1. Nonlinear dimensionality reduction by locally linear embedding.
  2. Learning with Local and Global Consistency
  3. The self-organizing map
  4. Introduction to Semi-Supervised Learning
  5. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
  6. Least Squares Support Vector Machine Classifiers
  7. Attribute and simile classifiers for face verification
  8. Transductive Learning via Spectral Graph Partitioning
  9. Large Graph Construction for Scalable Semi-Supervised Learning (International Conference on Machine Learning)
  10. Robustness and generalization

Their papers