Kyle J. Demars

Artificial Intelligence · 2013

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Aerospace Engineering — 7 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Kyle J. Demars trusts overall

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

1. Simon Justin Julier
2. Bin Jia
3. Jeffrey K. Uhlmann
4. Byron D. Tapley
5. Ming Xin
6. Joshua T. Horwood
7. Yang Cheng
8. Andrea Milani
9. Nathan D. Aragon
10. Kazufumi Ito

Who trusts Kyle J. Demars overall

1. Ya-zhong Luo

Papers from Kyle J. Demars's perspective

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

1. Nonlinear Bayesian estimation using Gaussian sum approximations
2. Gaussian filters for nonlinear filtering problems (IEEE Transactions on Automatic Control)
3. Unscented filtering and nonlinear estimation
4. Sparse Gauss-Hermite Quadrature Filter with Application to Spacecraft Attitude Estimation
5. Orbit determination with very short arcs. I admissible regions
6. Orbit determination of space debris: admissible regions
7. Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities (Entropy)
8. Gaussian Sum Filters for Space Surveillance: Theory and Simulations
9. Stochastic Models, Estimation And Control
10. Statistical Orbit Determination

Their papers

• Entropy-Based Approach for Uncertainty Propagation of Nonlinear Dynamical Systems (2013) — 178 citations
• Probabilistic Initial Orbit Determination Using Gaussian Mixture Models (2013) — 184 citations