V. P. Pauca

Computer Vision and Pattern Recognition · 2004–2007

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom V. P. Pauca trusts overall

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

  1. Patrik O. Hoyer
  2. Daniel D. Lee
  3. Aapo Hyvärinen
  4. Farial Shahnaz
  5. David L. Donoho
  6. Nirmal Keshava
  7. Antonio J. Plaza
  8. Michael W. Berry
  9. Victoria Stodden
  10. J. F. Mustard

Who trusts V. P. Pauca overall

  1. Hyunsoo Kim
  2. Yangyang Xu
  3. Haesun Park
  4. Sen Jia
  5. Naiyang Guan
  6. Y. Qian
  7. Jingu Kim
  8. Chris H. Q. Ding
  9. Wotao Yin
  10. Lidan Miao

Papers from V. P. Pauca's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Algorithms for Non-negative Matrix Factorization
  3. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
  4. Non-negative sparse coding
  5. Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
  6. Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
  7. Document clustering based on non-negative matrix factorization
  8. On the convergence of the block nonlinear Gauss-Seidel method under convex constraints (Operations Research Letters)
  9. Text Mining Using Non-Negative Matrix Factorizations (SDM)
  10. Data Mining: Introductory and Advanced Topics

Their papers