B. Ristic
Artificial Intelligence · 2002–2017
A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it
- Computer Networks and Communications — 11 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Statistics and Probability — 11 citations into it
- Oceanography — 7 citations into it
- Management Science and Operations Research — 6 citations into it
Whom B. Ristic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald P. S. Mahler
- B. Vo
- Iroon Polytechniou
- Thomas Kailath
- Arthur P. Dempster
- Dominic Schuhmacher
- Ba-Ngu Vo
- Arnaud Doucet
- Walter R. Gilks
- Antonio Cantoni
Who trusts B. Ristic overall
- B. Vo
- Jason L. Williams
- Fredrik K. Gustafsson
- S. Andrew Gadsden
- Pete Trautman
- X. Rong Li
- G. Hoffmann
- Arnold M. W. Smeulders
- Yuanxin Wu
- Simon Lacoste-Julien
Papers from B. Ristic's perspective
Ordered by how strongly the researchers B. Ristic trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Monte Carlo methods for multitarget filtering with random finite sets (IEEE Transactions on Aerospace and Electronic Systems)
- Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
- Sequential Monte Carlo Methods in Practice
- Statistical Multisource-Multitarget Information Fusion
- A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
- Following a moving target—Monte Carlo inference for dynamic Bayesian models
- Sequential Monte Carlo Methods in Practice
- Monte Carlo Statistical Methods
- The Gaussian Mixture Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later
Their papers
- Evaluation of Bayesian source estimation methods with Prairie Grass observations and Gaussian plume model: A comparison of likelihood functions and distance measures (2017) — 68 citations
- A Tutorial on Bernoulli Filters: Theory, Implementation and Applications (2013) — 296 citations
- Adaptive Target Birth Intensity for PHD and CPHD Filters (2012) — 303 citations
- A Metric for Performance Evaluation of Multi-Target Tracking Algorithms (2011) — 333 citations
- Statistical analysis of motion patterns in AIS Data: Anomaly detection and motion prediction (2008) — 361 citations
- Beyond the Kalman Filter: Particle Filters for Tracking Applications (2004) — 3,985 citations
- Maximum likelihood registration for multiple dissimilar sensors (2003) — 149 citations
- Tracking a ballistic target: comparison of several nonlinear filters (2002) — 376 citations