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Jason L. Williams

20 papers hereh-index 262.9k citations68 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author4
  • first author2
  • middle author7
  • last author7

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • eess.SP11
  • eess.SY4
  • cs.AI2
  • cs.CV2
  • stat.ME1
same name
  • Jason L. Williams — 10 papers, h 12
  • Jason L. Williams — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112022
most citedMarginal multi-Bernoulli filters: RFS derivation of MHT, JIPDA and association-based MeMBer

364 citations · 1.3k across the 18 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

eess.SP2019★ 27 cited

Multi-Scan Implementation of the Trajectory Poisson Multi-Bernoulli Mixture Filter

Yuxuan Xia, Karl Granström, Lennart Svensson +2

The Poisson multi-Bernoulli mixture (PMBM) and the multi-Bernoulli mixture (MBM) are two multi-target distributions for which closed-form filtering recursions exist. The PMBM has a…

eess.SP2019★ 4 cited

Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories

Yuxuan Xia, Karl Granström, Lennart Svensson +2

The Poisson multi-Bernoulli mixture (PMBM) is a multi-target distribution for which the prediction and update are closed. By applying the random finite set (RFS) framework to multi…

eess.SP2019

Gaussian implementation of the multi-Bernoulli mixture filter

Ángel F. García-Fernández, Yuxuan Xia, Karl Granström +2

This paper presents the Gaussian implementation of the multi-Bernoulli mixture (MBM) filter. The MBM filter provides the filtering (multi-target) density for the standard dynamic a…

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