Jason L. Williams
Artificial Intelligence · 2012–2018
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computer Networks and Communications — 28 citations into it
- Electrical and Electronic Engineering — 12 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Aerospace Engineering — 6 citations into it
- Management Science and Operations Research — 6 citations into it
- Oceanography — 5 citations into it
Whom Jason L. Williams trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Vo
- Ronald P. S. Mahler
- Dominic Schuhmacher
- Simon Justin Julier
- Songhwai Oh
- B. Ristic
- Antonio Cantoni
- Ba-Ngu Vo
- Jeffrey K. Uhlmann
- Wing-Kin Ma
Papers from Jason L. Williams's perspective
Ordered by how strongly the researchers Jason L. Williams trusts endorse each paper. Same corpus, a different order for every researcher.
- Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
- A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
- Statistical Multisource-Multitarget Information Fusion
- Beyond the Kalman Filter: Particle Filters for Tracking Applications
- Unscented filtering and nonlinear estimation
- The Gaussian Mixture Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
- ImageNet classification with deep convolutional neural networks
- PHD filters of higher order in target number (IEEE Transactions on Aerospace and Electronic Systems)
- The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations (IEEE Transactions on Signal Processing)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Message Passing Algorithms for Scalable Multitarget Tracking (2018) — 338 citations
- Marginal multi-bernoulli filters: RFS derivation of MHT, JIPDA, and association-based member (2012) — 347 citations