ResearchTrend.AI
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods

Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods

Namrata Vaswani
ArXiv (abs)PDFHTML

Papers citing "Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods"

4 / 4 papers shown
Title
Independent Resampling Sequential Monte Carlo Algorithms
Independent Resampling Sequential Monte Carlo Algorithms
Roland Lamberti
Y. Petetin
F. Desbouvries
F. Septier
50
14
0
19 Jul 2016
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
Tiancheng Li
Shudong Sun
T. Sattar
J. Corchado
125
228
0
12 Aug 2013
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change
Rituparna Sarkar
Samarjit Das
Namrata Vaswani
48
4
0
08 Jan 2013
Scalable Bayesian reduced-order models for high-dimensional multiscale dynamical systems
Scalable Bayesian reduced-order models for high-dimensional multiscale dynamical systems
P. Koutsourelakis
Elias Bilionis
108
2
0
15 Jan 2010

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.