M. Sanjeev Arulampalam

Artificial Intelligence · 2002–2003

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom M. Sanjeev Arulampalam trusts overall

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

  1. Eric A. Wan
  2. Arnaud Doucet
  3. Michael K. Pitt
  4. Jun S. Liu
  5. Walter R. Gilks
  6. John MacCormick
  7. Rudolph van der Merwe
  8. Neil J. Gordon
  9. Lawrence R. Rabiner
  10. N. Shephard

Who trusts M. Sanjeev Arulampalam overall

  1. Dieter Fox
  2. Pete Trautman
  3. Michael Dowd
  4. Gabriel Synnaeve
  5. Vinay Bettadapura
  6. Angelo Maria Sabatini
  7. Naiyan Wang
  8. Aleksandar Lj. Juloski
  9. Enrico Zio
  10. Naipeng Li

Papers from M. Sanjeev Arulampalam's perspective

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

  1. A tutorial on hidden Markov models and selected applications in speech recognition
  2. Particle filters for state estimation of jump Markov linear systems (IEEE Transactions on Signal Processing)
  3. The Unscented Particle Filter
  4. Following a moving target—Monte Carlo inference for dynamic Bayesian models
  5. Filtering via Simulation: Auxiliary Particle Filters
  6. Sequential Monte Carlo methods for dynamic systems
  7. The unscented Kalman filter for nonlinear estimation
  8. Optimal Estimation and Cramér-Rao Bounds for Partial Non-Gaussian State Space Models
  9. A Probabilistic Exclusion Principle for Tracking Multiple Objects (Proceedings of the Seventh IEEE International Conference on Computer Vision)
  10. Combined Parameter and State Estimation in Simulation-Based Filtering (Sequential Monte Carlo Methods in Practice)

Their papers