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

Whom Jason L. Williams trusts overall

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

  1. B. Vo
  2. Ronald P. S. Mahler
  3. Dominic Schuhmacher
  4. Simon Justin Julier
  5. Songhwai Oh
  6. B. Ristic
  7. Antonio Cantoni
  8. Ba-Ngu Vo
  9. Jeffrey K. Uhlmann
  10. 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.

  1. Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
  2. A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
  3. Statistical Multisource-Multitarget Information Fusion
  4. Beyond the Kalman Filter: Particle Filters for Tracking Applications
  5. Unscented filtering and nonlinear estimation
  6. The Gaussian Mixture Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
  7. ImageNet classification with deep convolutional neural networks
  8. PHD filters of higher order in target number (IEEE Transactions on Aerospace and Electronic Systems)
  9. The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations (IEEE Transactions on Signal Processing)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers