Mei-ping Wu

Artificial Intelligence · 2006–2011

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mei-ping Wu trusts overall

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

  1. Simon Justin Julier
  2. Jeffrey K. Uhlmann
  3. Rudolph van der Merwe
  4. Kazufumi Ito
  5. Jayesh H. Kotecha

Papers from Mei-ping Wu's perspective

Ordered by how strongly the researchers Mei-ping Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Methods of Numerical Integration
  2. Reduced sigma point filters for the propagation of means and covariances through nonlinear transformations (Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301))
  3. Beyond the Kalman Filter: Particle Filters for Tracking Applications
  4. Gaussian filters for nonlinear filtering problems (IEEE Transactions on Automatic Control)
  5. Gaussian particle filtering (Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563))
  6. The spherical simplex unscented transformation (Proceedings of the 2003 American Control Conference, 2003.)
  7. Unscented filtering and nonlinear estimation
  8. A new method for the nonlinear transformation of means and covariances in filters and estimators (IEEE Transactions on Automatic Control)
  9. Sigma-point kalman filters for probabilistic inference in dynamic state-space models
  10. Numerical Recipes: The Art of Scientific Computing

Their papers