Search Results - "Expectation-maximization algorithm"

Expectation–maximization algorithm for bilinear systems by using the Rauch–Tung–Striebel smoother by Liu, Siyu, Zhang, Xiao, Xu, Ling, Ding, Feng

“… By treating the unknown states as the latent variables, the expectation–maximization algorithm is designed for identifying the bilinear systems…”
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On-line expectation-maximization algorithm for latent data models by Cappé, Olivier, Moulines, Eric

“…We propose a generic on-line (also sometimes called adaptive or recursive) version of the expectation-maximization (EM) algorithm applicable to latent variable…”
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Expectation‐maximization algorithm for bilinear state‐space models with time‐varying delays under non‐Gaussian noise by Wang, Xinyue, Ma, Junxia, Xiong, Weili

“…In this paper, the parameter identification of bilinear state‐space model (SSM) in the presence of random outliers and time‐varying delays is investigated…”
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Expectation–Maximization algorithm for finite mixture of α-stable distributions by Castillo-Barnes, D., Martinez-Murcia, F.J., Ramírez, J., Górriz, J.M., Salas-Gonzalez, D.

“…–Maximization algorithm. As the Gaussian distribution is a particular limiting case of α-stable distribution, the proposed model is a generalization of the widely used GMM…”
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What is the expectation maximization algorithm? by Do, Chuong B, Batzoglou, Serafim

“…The expectation maximization algorithm arises in many computational biology applications that involve probabilistic models…”
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Expectation-maximization algorithm for direct position determination by Tzoreff, Elad, Weiss, Anthony J.

“…Transmitter localization is used extensively in civilian and military applications. In this paper, we focus on the Direct Position Determination (DPD)…”
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Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm by Zhao, Mengbiao, Feng, Wei, Yin, Fei, Zhang, Xu-Yao, Liu, Cheng-Lin

“…Scene text detection is an important and challenging task in computer vision. For detecting arbitrarily-shaped texts, most existing methods require heavy data…”
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A robust filter and smoother-based expectation–maximization algorithm for bilinear systems with heavy-tailed noise by Wang, Wenjie, Liu, Siyu, Jiang, Yonghua, Sun, Jianfeng, Xu, Wanxiu, Chen, Xiaohao, Dong, Zhilin, Jiao, Weidong

“…This paper focuses on a specific type of nonlinear systems—bilinear systems and introduces a robust filter and smoother-based expectation–maximization (RFS-EM)…”
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Maximum Likelihood recursive state estimation using the Expectation Maximization algorithm by Ramadan, Mohammad S., Bitmead, Robert R.

“… the predicted/filtered state densities and the Expectation Maximization algorithm to compute the maximum likelihood filtered state estimate…”
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Dynamic mode decomposition based on expectation–maximization algorithm for simultaneous system identification and denoising by Iwasaki, Yuto, Sasaki, Yasuo, Nagata, Takayuki, Kaneko, Sayumi, Nonomura, Taku

“…The present study proposes a novel dynamic mode decomposition (DMD) that can simultaneously estimate the reduced-order model, the original signal, and the…”
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Noncontact Detection of Sleep Apnea Using Radar and Expectation-Maximization Algorithm by Koda, Takato, Okumura, Shigeaki, Taki, Hirofumi, Hamada, Satoshi, Sunadome, Hironobu, Sato, Susumu, Chin, Kazuo, Sakamoto, Takuya

“…Sleep apnea syndrome (SAS) requires early diagnosis because this syndrome can lead to a variety of health problems. If sleep apnea (SA) events can be detected…”
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A review of the Expectation Maximization algorithm in data-driven process identification by Sammaknejad, Nima, Zhao, Yujia, Huang, Biao

“…The Expectation Maximization (EM) algorithm has been widely used for parameter estimation in data-driven process identification. EM is an algorithm for maximum…”
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An expectation–maximization algorithm for spectral reconstruction under the spectral hard model by Kasterke, Marvin, Kaufmann, Lea, Kateri, Maria, Brands, Thorsten

“…Indirect Hard Modeling (IHM) is a physics-based evaluation method for the quantitative analysis of fluid compositions using spectroscopic techniques such as…”
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Model error covariance estimation in particle and ensemble Kalman filters using an online expectation–maximization algorithm by Cocucci, Tadeo J., Pulido, Manuel, Lucini, Magdalena, Tandeo, Pierre

“…The performance of ensemble‐based data assimilation techniques that estimate the state of a dynamical system from partial observations depends crucially on the…”
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Expectation maximization algorithm over Fourier series (EMoFS) by Yildiz, Mürsel

“…The application of expectation maximization (EM) algorithm for the univariate problems in the literature suffers mainly from the requirement of the prior…”
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An expectation-maximization algorithm for positron emission particle tracking by Manger, Sam, Renaud, Antoine, Vanneste, Jacques

“… Values of these parameters that approximately maximize the likelihood are computed by the application of an expectation-maximization algorithm…”
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MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm by Wu, Yu-Wei, Tang, Yung-Hsu, Tringe, Susannah G, Simmons, Blake A, Singer, Steven W

“… Results We have developed a binning algorithm, MaxBin, which automates the binning of assembled metagenomic scaffolds using an expectation-maximization algorithm after the assembly of metagenomic sequencing reads…”
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An Accelerated Expectation-Maximization Algorithm for Multi-Reference Alignment by Janco, Noam, Bendory, Tamir

“…The multi-reference alignment (MRA) problem entails estimating an image from multiple noisy and rotated copies of itself. If the noise level is low, one can…”
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Separating Biological Variance from Noise by Applying Expectation-Maximization Algorithm to Modified General Linear Model by Lee, Tien-Wen

“…The general linear model (GLM) has been widely used in research, where the error term has been treated as noise. However, compelling evidence suggests that in…”
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Laplace Distribution Based Online Identification of Linear Systems With Robust Recursive Expectation–Maximization Algorithm by Chen, Xin, Zhao, Shunyi, Liu, Fei, Tao, Chongben

“…The robust online identification problem of linear systems is considered in this article using a faster robust recursive expectation–maximization (RREM)…”
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