Search Results - Variational expectation-maximization algorithm

A variational Expectation–Maximization algorithm for temporal data clustering by El Assaad, Hani, Samé, Allou, Govaert, Gérard, Aknin, Patrice

“… Using a variational approximation, an algorithm called VEM-DyMix is proposed to estimate the parameters of the proposed model…”
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Estimation in a binomial stochastic blockmodel for a weighted graph by a variational expectation maximization algorithm by Haj, Abir El, Slaoui, Yousri, Louis, Pierre-Yves, Khraibani, Zaher

“…Stochastic blockmodels have been widely proposed as a probabilistic random graph model for the analysis of networks data as well as for detecting community…”
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Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation by Tian, GuangJian, Xia, Yong, Zhang, Yanning, Feng, Dagan

“…The expectation-maximization (EM) algorithm has been widely applied to the estimation of Gaussian mixture model (GMM…”
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Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms by Brusa, Luca, Pennoni, Fulvia, Bartolucci, Francesco

“… The proposal is based on modified versions of the expectation–maximization (EM) and variational EM (VEM…”
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Blind source separation with time series variational Bayes expectation maximization algorithm by Sun, Shijun, Peng, Chenglin, Hou, Wensheng, Zheng, Jun, Jiang, Yingtao, Zheng, Xiaolin

“…This paper presents a variational Bayes expectation maximization algorithm for time series based on Attiasʼ…”
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Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm by Brusa, Luca, Pennoni, Fulvia

“… The dynamic stochastic block model, commonly used with longitudinal network data, is estimated maximizing the likelihood function through the variational expectation-maximization (VEM) algorithm…”
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Glaucoma progression detection using variational expectation maximization algorithm by Belghith, Akram, Balasubramanian, Madhusudhanan, Bowd, Christopher, Weinreb, Robert N., Zangwill, Linda M.

“…Glaucoma, the second leading cause of blindness worldwide, is an optic neuropthy characterized by distinctive changes in the optic nerve head (ONH) and visual…”
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Engine Working State Recognition Based on Optimized Variational Mode Decomposition and Expectation Maximization Algorithm by Bi, Xiaobo, Lin, Jiansheng, Bi, Fengrong, Li, Xin, Tang, Daijie, Wu, Youxi, Yang, Xiao, Shen, Pengfei

“…) and expectation maximization (EM) are introduced into this paper to analyze multi-channel vibration signals…”
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A Segmentation-Based CFAR Detector With Spatial Continuity Constraint in Nonhomogeneous Weather Clutter by Yan, Yujia, Hu, Cheng, Cai, Jiong, Li, Weidong, Yu, Teng, Wang, Rui

“…The performance of conventional constant false alarm rate (CFAR) detectors may degrade in nonhomogeneous clutter environments, as accurately estimating the…”
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Anomaly detection for fabricated artifact by using unstructured 3D point cloud data by Tao, Chengyu, Du, Juan, Chang, Tzyy-Shuh

“…3D point cloud data has been widely used in surface quality inspection to measure fabricated artifacts, allowing the high density and precision of measurements…”
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Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference by Vargas Cardona, Hernan Dario, Orozco, Alvaro Angel, Alvarez, Mauricio A.

“… We employ gaussian mixtures models with two estimation methods. The first is derived from the frequentist estimation theory, known as Expectation-Maximization (EM) algorithm…”
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Statistical clustering of temporal networks through a dynamic stochastic block model by Matias, Catherine, Miele, Vincent

“… We study identifiability of the model parameters and propose an inference procedure based on a variational expectation…”
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Powerful multiple testing of paired null hypotheses using a latent graph model by Rebafka, Tabea, Roquain, Étienne, Villers, Fanny

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An effective expectation-maximization algorithm for two-layer mixture model of Gaussian process functional regressions via variational inference by Xie, Yurong, Wu, Di, Qiang, Zhe

“…: the Markov Chain Monte Carlo expectation-maximization (MCMC EM) algorithm achieves high accuracy but incurs prohibitive computational cost, while the classification expectation-maximization (CEM…”
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Regularized Variational Estimation for Exploratory Item Factor Analysis by Cho, April E., Xiao, Jiaying, Wang, Chun, Xu, Gongjun

“… This paper proposes a regularized Gaussian Variational Expectation Maximization (GVEM) algorithm to efficiently infer item factor loading structure directly from data…”
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Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization by Zhu, Junyi, Ma, Xingchen, Blaschko, Matthew B.

“… on the principle of maximizing the marginal likelihood and conducted using variational expectation maximization…”
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Variational Inference and Learning of Piecewise Linear Dynamical Systems by Alameda-Pineda, Xavier, Drouard, Vincent, Horaud, Radu Patrice

“… In this article, we propose a variational approximation of piecewise linear dynamical systems. We provide full details of the derivation…”
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Model‐based clustering in simple hypergraphs through a stochastic blockmodel by Brusa, Luca, Matias, Catherine

“… We first establish the generic identifiability of the model parameters. We then develop a variational approximation Expectation…”
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Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach by Chaari, L., Vincent, T., Forbes, F., Dojat, M., Ciuciu, P.

“…In standard within-subject analyses of event-related functional magnetic resonance imaging (fMRI) data, two steps are usually performed separately: detection…”
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Regularized LTI system identification in the presence of outliers: A variational EM approach by Lindfors, Martin, Chen, Tianshi

“…Regularized system identification of linear time invariant systems in the presence of outliers is investigated. The finite impulse response (fir) model and the…”
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