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Fighting Sample Degeneracy and Impoverishment in Particle Filters: A
  Review of Intelligent Approaches

Fighting Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches

12 August 2013
Tiancheng Li
Shudong Sun
T. Sattar
J. Corchado
ArXivPDFHTML

Papers citing "Fighting Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches"

20 / 20 papers shown
Title
Improving the evaluation of samplers on multi-modal targets
Improving the evaluation of samplers on multi-modal targets
Louis Grenioux
Maxence Noble
Marylou Gabrié
116
0
0
11 Apr 2025
Autonomous Robotic Radio Source Localization via a Novel Gaussian Mixture Filtering Approach
Sukkeun Kim
Sangwoo Moon
Ivan Petrunin
Hyo-Sang Shin
Shehryar Khattak
43
0
0
13 Mar 2025
Understanding Robot Minds: Leveraging Machine Teaching for Transparent
  Human-Robot Collaboration Across Diverse Groups
Understanding Robot Minds: Leveraging Machine Teaching for Transparent Human-Robot Collaboration Across Diverse Groups
Suresh Kumaar Jayaraman
Reid G. Simmons
Aaron Steinfeld
H. Admoni
23
0
0
23 Apr 2024
Object Permanence Filter for Robust Tracking with Interactive Robots
Object Permanence Filter for Robust Tracking with Interactive Robots
Shaoting Peng
Margaret X. Wang
Julie A. Shah
Nadia Figueroa
31
2
0
13 Mar 2024
Multiple Update Particle Filter: Position Estimation by Combining GNSS
  Pseudorange and Carrier Phase Observations
Multiple Update Particle Filter: Position Estimation by Combining GNSS Pseudorange and Carrier Phase Observations
Taro Suzuki
16
0
0
06 Mar 2024
Simulating counterfactuals
Simulating counterfactuals
J. Karvanen
S. Tikka
M. Vihola
30
0
0
27 Jun 2023
Massively Parallel Reweighted Wake-Sleep
Massively Parallel Reweighted Wake-Sleep
Thomas Heap
Gavin Leech
Laurence Aitchison
BDL
21
2
0
18 May 2023
Multiparticle Kalman filter for object localization in symmetric
  environments
Multiparticle Kalman filter for object localization in symmetric environments
Roman Korkin
Ivan V. Oseledets
Aleksandr Katrutsa
16
6
0
14 Mar 2023
Data assimilation with agent-based models using Markov chain sampling
Data assimilation with agent-based models using Markov chain sampling
Daniel Tang
N. Malleson
25
2
0
03 May 2022
When Artificial Parameter Evolution Gets Real: Particle Filtering for
  Time-Varying Parameter Estimation in Deterministic Dynamical Systems
When Artificial Parameter Evolution Gets Real: Particle Filtering for Time-Varying Parameter Estimation in Deterministic Dynamical Systems
Andrea Arnold
18
6
0
31 Mar 2022
A numerically stable algorithm for integrating Bayesian models using
  Markov melding
A numerically stable algorithm for integrating Bayesian models using Markov melding
A. A. Manderson
Robert J. B. Goudie
29
3
0
22 Jan 2020
Prediction of flow characteristics in the bubble column reactor by the
  artificial pheromone-based communication of biological ants
Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
S. Shamshirband
Meisam Babanezhad
Amir H. Mosavi
Narjes Nabipour
E. Hajnal
L. Nádai
K. Chau
20
33
0
09 Jan 2020
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle
  Filter
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter
N. Malleson
K. Minors
L. Kieu
Jonathan A. Ward
Andrew A. West
A. Heppenstall
AI4CE
26
31
0
20 Sep 2019
Identifying nonlinear dynamical systems via generative recurrent neural
  networks with applications to fMRI
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI
G. Koppe
Hazem Toutounji
P. Kirsch
S. Lis
Daniel Durstewitz
MedIm
14
74
0
19 Feb 2019
Robust Object Tracking with Crow Search Optimized Multi-cue Particle
  Filter
Robust Object Tracking with Crow Search Optimized Multi-cue Particle Filter
K. Sharma
G. S. Walia
Ashish Kumar
Astitwa Saxena
Kuldeep Singh
13
21
0
11 Jun 2018
Design of Experiments for Model Discrimination Hybridising Analytical
  and Data-Driven Approaches
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches
Simon Olofsson
M. Deisenroth
Ruth Misener
20
10
0
12 Feb 2018
Improving Population Monte Carlo: Alternative Weighting and Resampling
  Schemes
Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
23
84
0
10 Jul 2016
Estimating parameters of nonlinear systems using the elitist particle
  filter based on evolutionary strategies
Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies
Christian Huemmer
Christian Hofmann
Roland Maas
Walter Kellermann
14
14
0
14 Apr 2016
Structured Pruning of Deep Convolutional Neural Networks
Structured Pruning of Deep Convolutional Neural Networks
S. Anwar
Kyuyeon Hwang
Wonyong Sung
21
742
0
29 Dec 2015
Sharp failure rates for the bootstrap particle filter in high dimensions
Sharp failure rates for the bootstrap particle filter in high dimensions
Peter J. Bickel
Bo Li
T. Bengtsson
69
198
0
21 May 2008
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