In this paper, a new method for tracking multiple irregularly shaped extended objects using surface measurements is proposed. The Gaussian Process Convolution Particle Filter proposed in [1], designed to track a single extended/group object, is enhanced for tracking multiple extended objects. A ...
9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook Gaussian curve Dictionary Thesaurus Medical Financial Wikipedia Related to Gaussian curve:normal distribution,normal curve,Gaussian curvature [¦gau̇·sē·ən ′kərv] ...
Example comparison of interpolation techniques to reconstruct the radiation field from a point source at the origin from, irregularly spaced uncertain observation data (a), using linear interpolation (b), minimum curvature thin-plate splines (c), and Gaussian Process Regression (d). (All plots gene...
We use an annealed particle filter to track the body parts and a Gaussian Process Dynamical Model in order to reduce the dimensionality of the problem, increase the tracker's stability and learn the motion models. We also present an improvement for the weighting function that helps to its use...
In this section, adaptive residual resample method is proposed which is simple but effective and compensates some support particles to improve residual resampling process. The steps of adaptive residual resample are: { }(1) For the particles ski , wki N i =1 , all weights are multiplied by ...
A real stochastic process {X(t)} on R is said to be Gaussian if for every integer n ≥ 1 its n-dimensional joint distribution is Gaussian, i.e., the density function pt1,…,tn(x1,…,xn) is of the form pt1,…,tn(x1,…,xn)=1(2π)n/2|V|1/2×exp{−12(x−m)V−1...
Extension Particle Filtering algorithm for state and parameter estimation in dynamic control process Aiming to solve the problem of unknown parameters estimation in nonlinear and/or non-Gaussian dynamic system, Extension Particle Filtering (EPF) algorithm ... XZ Gao,ZX Hou,BT Ren - International Confe...
When Gaussian Process Meets Big Data: A Review of Scalable GPs 2020, IEEE Transactions on Neural Networks and Learning Systems Advances in Variational Inference 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence Single-cell RNA-seq and computational analysis using temporal mixture modeli...
(PHD)recursiontopropagatetheposteriorintensity,whichisafirstorderstatisticoftherandomfinitesetoftargets,intime.Atpresent,thereisnoclosedformsolutiontothePHDrecursion.Thisworkshowsthatunderlinear,Gaussianassumptionsonthetargetdynamicsandbirthprocess,theposteriorintensityatanytimestepisaGaussianmixture.Moreimportantly,...
The molecular docking process relies heavily on the protein structure, and the fact is that many pathogenic proteins associated with human diseases cannot be targeted by conventional small-molecule drugs or biomacromolecules44. In recent years, nucleic acid drugs have received attention in the pharmaceut...