John Mullane

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom John Mullane trusts overall

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

  1. B. Vo
  2. Ronald P. S. Mahler
  3. Christian P. Robert
  4. José Neira
  5. Giorgio Grisetti
  6. Juan D. Tardós
  7. Ba-Ngu Vo
  8. Arnaud Doucet
  9. Michael Kaess
  10. Sumeetpal S. Singh

Who trusts John Mullane overall

  1. B. Vo
  2. B. Ristic
  3. Sajad Saeedi
  4. Dinh Q. Phung
  5. Hung Gia Hoang
  6. Daniel E. Clark
  7. Michael Trentini
  8. Davide Dardari

Papers from John Mullane's perspective

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

  1. Data association in stochastic mapping using the joint compatibility test (IEEE Trans. Robotics Autom.)
  2. iSAM: Incremental Smoothing and Mapping
  3. Estimating uncertain spatial relationships in robotics
  4. Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters (IEEE Transactions on robotics)
  5. Sequential Monte Carlo methods for multitarget filtering with random finite sets (IEEE Transactions on Aerospace and Electronic Systems)
  6. A survey of convergence results on particle filtering methods for practitioners (IEEE Transactions on Signal Processing)
  7. A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
  8. Statistical Multisource-Multitarget Information Fusion
  9. The Gaussian Mixture Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
  10. The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations (IEEE Transactions on Signal Processing)

Their papers