Johathan Piper

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Johathan Piper trusts overall

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

  1. Daniel D. Lee
  2. Aapo Hyvärinen
  3. Patrik O. Hoyer
  4. David L. Donoho
  5. Nirmal Keshava
  6. Farial Shahnaz
  7. Antonio J. Plaza

Who trusts Johathan Piper overall

  1. Sen Jia
  2. Hyunsoo Kim
  3. Y. Qian
  4. Yangyang Xu
  5. Yan Yang
  6. Lidan Miao
  7. Haesun Park
  8. Naoto Yokoya
  9. Weikuan Jia

Papers from Johathan Piper's perspective

Ordered by how strongly the researchers Johathan Piper 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. Non-negative sparse coding
  4. Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
  5. Text Mining Using Non-Negative Matrix Factorizations (SDM)
  6. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
  7. Spectral unmixing (IEEE Signal Processing Magazine)
  8. Document clustering using nonnegative matrix factorization (Information Processing & Management)
  9. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
  10. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†

Their papers