Suchergebnisse - (particle OR articles) consensus-based expectation maximization algorithm

Distributed identification of stable large-scale isomorphic nonlinear networks using partial observations von Li, Chunhui, Yu, Chengpu

“… To address these challenges, this paper proposes a particle consensus-based expectation maximization (EM) algorithm …”
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Smoothness-Driven Consensus Based on Compact Representation for Robust Feature Matching von Fan, Aoxiang, Jiang, Xingyu, Ma, Yong, Mei, Xiaoguang, Ma, Jiayi

“… In this article, we propose a novel method for multivariate regression and point matching, which exploits …”
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Distributed data clustering over networks von Altilio, Rosa, Di Lorenzo, Paolo, Panella, Massimo

“… ;•Leveraging dynamic consensus for diffuse information in the network.•Consensus-based Expectation-Maximization applied to Gaussian mixture models. [Display omitted …”
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Endoscopic image feature matching via motion consensus and global bilateral regression von Chu, Yakui, Li, Heng, Li, Xu, Ding, Yuan, Yang, Xilin, Ai, Danni, Chen, Xiaohong, Wang, Yongtian, Yang, Jian

“… •A novel motion consensus-based method for feature matching of endoscopic images is proposed …”
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Graphical Inference in Linear-Gaussian State-Space Models von Elvira, Victor, Chouzenoux, Emilie

“… State-space models (SSM) are central to describe time-varying complex systems in countless signal processing applications such as remote sensing, networks, …”
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A Distributed Service-Matching Coverage Via Heterogeneous Agents von Chung, Yi-fan, Kia, Solmaz S.

“… of the Kullback-Leibler divergence (KLD) measure. We propose a distributed consensus-based expectation-maximization (EM …”
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A distributed service-matching coverage via heterogeneous mobile agents von Yi-Fan, Chung, Kia, Solmaz S

“… We propose a distributed consensus-based expectation-maximization (EM) algorithm to estimate the target density distribution, modeled as a Gaussian mixture model (GMM …”
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