Results 31 to 40 of about 150,627 (302)

FISST Based Method for Multi-Target Tracking in the Image Plane of Optical Sensors

open access: yesSensors, 2012
A finite set statistics (FISST)-based method is proposed for multi-target tracking in the image plane of optical sensors. The method involves using signal amplitude information in probability hypothesis density (PHD) filter which is derived from FISST to
Dan Xu, Wei An, Hui Xu, Yang Xu
doaj   +1 more source

Move-stop-move Target Tracking with Low-altitude Surveillance Radars

open access: yesLeida xuebao, 2022
Low-altitude small targets, represented by rotor unmanned aerial vehicles, always adopt slow move-and-stop strategy or employ an obstacle blocking strategy to avoid radar detection and conduct point-and-point strikes or interference on important ...
Kaiming XU   +4 more
doaj   +1 more source

Groups with the basis property

open access: yes, 2011
"The first author is supported by an EPSRC Doctoral Training Grant"We study finite groups for which every minimal generating set has the same cardinality.
McDougall-Bagnall, Jonathan   +4 more
core   +1 more source

A Multi‐Timescale EnOI‐Like High‐Efficiency Approximate Filter for Coupled Model Data Assimilation

open access: yesJournal of Advances in Modeling Earth Systems, 2019
Because it uses a set of model integrations to simulate the temporally varying background probability distribution function and implement Bayes' theorem, the ensemble Kalman filter (EnKF), which produces an optimal data assimilation solution that ...
X. Yu   +10 more
doaj   +1 more source

Statistical inference for induced L-statistics: a random perturbation approach

open access: yes, 2009
Suppose that X and Y are two numerical characteristics defined for each individual in a population. In a random sample of (X,Y) with sample size n, denote the rth ordered X variate by Xr:n and the associated Y variate, the induced rth order statistics ...
Leng, C.   +5 more
core   +1 more source

Dynamic finite size effects in spiking neural networks. [PDF]

open access: yesPLoS Computational Biology, 2013
We investigate the dynamics of a deterministic finite-sized network of synaptically coupled spiking neurons and present a formalism for computing the network statistics in a perturbative expansion.
Michael A Buice, Carson C Chow
doaj   +1 more source

Notes of the Summer School on Finite Set Statistics

open access: yes, 2013
This document contains the notes of some of the lectures given at the first summer school on Finite Set Statistics held in Edinburgh from July 22, 2013 to July 26, 2013. The notes are mostly self contained and are accessible to everyone.
Houssineau, Jeremie   +2 more
openaire   +2 more sources

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang   +8 more
wiley   +1 more source

Multiple Vessel Cooperative Localization Under Random Finite Set Framework With Unknown Birth Intensities

open access: yesIEEE Access, 2020
The key challenge for multiple vessel cooperative localization is considered as data association, in which state-of-the-art approaches adopt a divide-and-conquer strategy to acquire measurement-to-target association.
Feihu Zhang   +3 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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