Guiding random particles by deterministic search
Among the algorithms developed towards the goal of robust and efficient tracking, two approaches which stand out due to their success are those based on particle filtering [8, 12, 14] and variational approaches [5, 16]. The Bayesian approach led to the development of the particle filter, which perfo...
Main Authors: | Sullivan, J, Rittscher, J |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2001
|
Similar Items
-
Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches
by: Riccardo Pellegrini, et al.
Published: (2020-04-01) -
A Novel Particle Filter Based on Hybrid Deterministic and Random Sampling
by: Feng Yang, et al.
Published: (2018-01-01) -
Errors in visual search: Are they stochastic or deterministic?
by: Aoqi Li, et al.
Published: (2024-03-01) -
Deterministic Grover search with a restricted oracle
by: Tanay Roy, et al.
Published: (2022-04-01) -
Deterministic Random Walks on the Integers
by: Joshua Cooper, et al.
Published: (2005-01-01)