Peichu Xie

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Peichu Xie trusts overall

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

  1. Thomas Hofmann
  2. Patrik O. Hoyer
  3. Daniel D. Lee
  4. Chris H. Q. Ding
  5. Inderjit S. Dhillon

Who trusts Peichu Xie overall

  1. Xiangnan He

Papers from Peichu Xie's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Et al
  3. Algorithms for Non-negative Matrix Factorization
  4. Latent Dirichlet Allocation
  5. Document clustering based on non-negative matrix factorization
  6. Scikit-learn: Machine Learning in Python
  7. The Hungarian method for the assignment problem
  8. Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
  9. Concept Decompositions for Large Sparse Text Data Using Clustering (Machine-mediated learning)
  10. Relation between PLSA and NMF and implications (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)

Their papers