Výsledky vyhledávání - "expectation maximization algorithms"

An Improved Compound Gaussian Model for Bivariate Surface EMG Signals Related to Strength Training Autor Kusuru, Durgesh, Turlapaty, Anish C., Thakur, Mainak

“…Recent literature suggests that the surface electromyography (sEMG) signals have nonstationary statistical characteristics, specifically due to the random…”
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Jointly Learning Visual Poses and Pose Lexicon for Semantic Action Recognition Autor Zhou, Lijuan, Li, Wanqing, Ogunbona, Philip, Zhang, Zhengyou

“…A novel method for semantic action recognition through learning a pose lexicon is presented in this paper. A pose lexicon comprises a set of semantic poses, a…”
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Estimation of Cortical Connectivity From EEG Using State-Space Models Autor Cheung, Bing Leung Patrick, Riedner, Brady Alexander, Tononi, Giulio, Van Veen, Barry D.

“… An expectation-maximization algorithm is developed to directly estimate the MVAR model parameters, the spatial activity distribution components, and the spatial covariance matrix of the noise from the measured EEG…”
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Neural Decoding of Hand Motion Using a Linear State-Space Model With Hidden States Autor Wu, Wei, Kulkarni, Jayant E., Hatsopoulos, Nicholas G., Paninski, Liam

“… However, currently used linear state-space models underlying the Kalman filter do not take into account other behavioral states such as muscular activity or the subject's level of attention…”
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Large-scale simultaneous hypothesis testing in monitoring carbon content from French soil database — A semi-parametric mixture approach Autor Chauveau, Didier, Saby, Nicolas P.A., Orton, Thomas G., Lemercier, Blandine, Walter, Christian, Arrouays, Dominique

“…Investigating the information of the French National Soil Tests database for soil monitoring produces multiple hypothesis testing problems with hundreds or…”
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Identification of ARX Model with Multi-Gaussian Noises Autor Bai, Wentao, Guo, Fan, Chen, Lei, Hao, Kuangrong, Huang, Biao

“…In most industrial environments, the real process data points are usually subject to contamination from a variety of noises…”
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Multiscale Reconstruction for Photon-Limited Shifted Excitation Raman Spectroscopy Autor Willett, R.

“… The fluorescent spectrum is typically stationary with respect to the excitation frequency induced by the instrument, while the Raman spectrum is subject to a nonlinear shift which depends explicitly…”
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Parameter estimation for load‐sharing system subject to Wiener degradation process using the expectation‐maximization algorithm Autor Xu, Jianyu, Liu, Bin, Zhao, Xiujie

“…‐sharing systems with components subject to sudden failures have been intensely studied in literatures with detailed estimation and analysis approaches, those with components…”
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Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning Autor Ravichandar, Harish Chaandar, Dani, Ashwin P.

“… The unknown model is learned by using a neural network. Based on the learned model, an approximate expectation-maximization algorithm is developed to infer human intentions…”
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A numerically efficient implementation of the expectation maximization algorithm for state space models Autor Mader, Wolfgang, Linke, Yannick, Mader, Malenka, Sommerlade, Linda, Timmer, Jens, Schelter, Björn

“…Empirical time series are subject to observational noise. Naïve approaches that estimate parameters in stochastic models for such time series are likely to fail due to the error-in-variables challenge…”
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Expectation-maximization algorithm for amplitude estimation of saturated optical transient signals Autor Kagie, Matthew J, Lanterman, Aaron D

“… We develop an expectation-maximization (EM) algorithm to estimate the amplitude of a Poisson intensity with a known shape in the presence of additive background counts, where the measurements are subject to saturation effects…”
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Trend analysis of the power law process using Expectation–Maximization algorithm for data censored by inspection intervals Autor Taghipour, Sharareh, Banjevic, Dragan

“…; however, in many situations, such as hidden failures, failure times are subject to censoring…”
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Time series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm Autor Lu, Yang, Ju, Zhaojie, Liu, Yurong, Shen, Yuxuan, Liu, Honghai

“…In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based…”
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Estimating the Variance of Estimator of the Latent Factor Linear Mixed Model Using Supplemented Expectation-Maximization Algorithm Autor Angraini, Yenni, Notodiputro, Khairil Anwar, Folmer, Henk, Saefuddin, Asep, Toharudin, Toni

“…This paper deals with symmetrical data that can be modelled based on Gaussian distribution, such as linear mixed models for longitudinal data. The latent…”
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Neural networks for novelty detection in airframe strain data Autor Hickinbotham, S.J., Austin, J.

“… Unfortunately, the sensors that produce this data are subject to degradation themselves, resulting in corruption of FOOMs…”
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A hidden Markov model for continuous longitudinal data with missing responses and dropout Autor Pandolfi, Silvia, Bartolucci, Francesco, Pennoni, Fulvia

“…We propose a hidden Markov model for multivariate continuous longitudinal responses with covariates that accounts for three different types of missing pattern:…”
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Image reconstruction for positron-emission tomography when anatomical boundaries are known Autor Politte, D.G., Snyder, D.L.

“… Regularized ML estimates are computed using an expectation-maximization algorithm. A regularization method with spatially varying sieve and resolution kernels is used to prevent artifacts while preserving sharp boundaries where appropriate…”
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Robust online identification for hybrid multirate systems based on recursive EM algorithm Autor Guo, Fan, Huang, Biao

“…This paper focuses on robust identification for both linear time-invariant and time-variant multirate systems with time delays subject to outliers…”
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A fast Monte Carlo expectation-maximization algorithm for estimation in latent class model analysis with an application to assess diagnostic accuracy for cervical neoplasia in women with atypical glandular cells Autor Kang, Le, Carter, Randy, Darcy, Kathleen, Kauderer, James, Liao, Shu-Yuan

“…In this article, we use a latent class model (LCM) with prevalence modeled as a function of covariates to assess diagnostic test accuracy in situations where…”
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Majorization ordering of dependent aggregate claims clustered by statistical machine learning Autor Nevruz, Ezgi, Yildirak, Kasirga, SenGupta, Ashis

“… We consider the spatial and temporal features of claims, supposing that individual claims subject to similar environmental risks are dependent…”
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