Tim Clapp
Artificial Intelligence · 2002
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it; #6,017 of 35,345 by trust here, #4,119 by citations
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Tim Clapp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rudolph van der Merwe
- Eric A. Wan
- Walter R. Gilks
- Michael K. Pitt
- John MacCormick
- N. Shephard
- Andrew Blake
- Arnaud Doucet
- Neil J. Gordon
Who trusts Tim Clapp overall
- Dieter Fox
- Pete Trautman
- Michael Dowd
- Gabriel Synnaeve
- Vinay Bettadapura
- Angelo Maria Sabatini
- Naiyan Wang
Papers from Tim Clapp's perspective
Ordered by how strongly the researchers Tim Clapp trusts endorse each paper. Same corpus, a different order for every researcher.
- Particle filters for state estimation of jump Markov linear systems (IEEE Transactions on Signal Processing)
- A tutorial on hidden Markov models and selected applications in speech recognition
- The Unscented Particle Filter
- Following a moving target—Monte Carlo inference for dynamic Bayesian models
- Filtering via Simulation: Auxiliary Particle Filters
- Sequential Monte Carlo methods for dynamic systems
- The unscented Kalman filter for nonlinear estimation
- Optimal Estimation and Cramér-Rao Bounds for Partial Non-Gaussian State Space Models
- A Probabilistic Exclusion Principle for Tracking Multiple Objects (Proceedings of the Seventh IEEE International Conference on Computer Vision)
- Combined Parameter and State Estimation in Simulation-Based Filtering (Sequential Monte Carlo Methods in Practice)
Their papers
- A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (2002) — 12,450 citations