Lidan Miao

Media Technology · 2007

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Lidan Miao trusts overall

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

  1. Daniel D. Lee
  2. Chein-I. Chang
  3. Patrik O. Hoyer
  4. Dimitri P. Bertsekas
  5. Chih-Jen Lin
  6. Jose M. P. Nascimento
  7. Daniel C. Heinz
  8. V. P. Pauca
  9. José M. Bioucas-Dias
  10. Mark Berman

Who trusts Lidan Miao overall

  1. José M. Bioucas-Dias
  2. Nicolas Gillis
  3. Sen Jia
  4. Y. Qian
  5. Jun Yu Li
  6. Antonio J. Plaza
  7. Xiaoqiang Lu
  8. Mário A. T. Figueiredo
  9. Nicolas Dobigeon
  10. Marian-Daniel Iordache

Papers from Lidan Miao's perspective

Ordered by how strongly the researchers Lidan Miao 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 Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
  4. Estimation of number of spectrally distinct signal sources in hyperspectral imagery (IEEE Transactions on Geoscience and Remote Sensing)
  5. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
  6. Projected Gradient Methods for Nonnegative Matrix Factorization
  7. Vertex component analysis: a fast algorithm to unmix hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
  8. A Survey of Spectral Unmixing Algorithms
  9. Algorithms and applications for approximate nonnegative matrix factorization
  10. Does independent component analysis play a role in unmixing hyperspectral data? (IEEE Transactions on Geoscience and Remote Sensing)

Their papers