Results 51 to 60 of about 1,512,106 (277)

An Adaptive Particle Filter for Target Tracking Based on Double Space-Resampling

open access: yesIEEE Access, 2021
Particle filter has been widely applied in nonlinear target tracking due to the ability to carry multiple hypothesis and relaxation of linearity/Gaussian assumption.
Zheng Gong, Gang Gao, Mingang Wang
doaj   +1 more source

The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems [PDF]

open access: yes2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a density of the assumed parametric form.
Manuel Wüthrich   +4 more
openaire   +3 more sources

Optimal Intermittent Particle Filter

open access: yesIEEE Transactions on Signal Processing, 2022
13 pages, 7 figures, 3 ...
Antoine Aspeel   +3 more
openaire   +4 more sources

Structure‐forward targeting of claudins with synthetic binders

open access: yesFEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Autonomous crowds tracking with box particle filtering and convolution particle filtering [PDF]

open access: yesAutomatica, 2016
Autonomous systems such as Unmanned Aerial Vehicles (UAVs) need to be able to recognise and track crowds of people, e.g. for rescuing and surveillance purposes. Large groups generate multiple measurements with uncertain origin. Additionally, often the sensor noise characteristics are unknown but measurements are bounded within certain intervals.
Allan De Freitas   +4 more
openaire   +5 more sources

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

open access: yesFEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt   +8 more
wiley   +1 more source

Multiple particle filtering for tracking wireless agents via Monte Carlo likelihood approximation

open access: yesEURASIP Journal on Advances in Signal Processing, 2019
The localization of multiple wireless agents via, for example, distance and/or bearing measurements is challenging, particularly if relying on beacon-to-agent measurements alone is insufficient to guarantee accurate localization. In these cases, agent-to-
Stephan Schlupkothen, Gerd Ascheid
doaj   +1 more source

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

open access: yesFEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Lattice Particle Filters

open access: yesCoRR, 2013
A standard approach to approximate inference in state-space models isto apply a particle filter, e.g., the Condensation Algorithm.However, the performance of particle filters often varies significantlydue to their stochastic nature.We present a class of algorithms, called lattice particle filters, thatcircumvent this difficulty by placing the particles
Dirk Ormoneit   +2 more
openaire   +4 more sources

On coupling particle filter trajectories [PDF]

open access: yesStatistics and Computing, 2017
Particle filters are a powerful and flexible tool for performing inference on state-space models. They involve a collection of samples evolving over time through a combination of sampling and re-sampling steps. The re-sampling step is necessary to ensure that weight degeneracy is avoided.
Deborshee Sen   +2 more
openaire   +4 more sources

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