Výsledky vyhledávání - Generalized expectation-maximization algorithm

Neutron source reconstruction using a generalized expectation-maximization algorithm on one-dimensional neutron images from the Z facility Autor Ricketts, S A, Mangan, M A, Volegov, P, Fittinghoff, D N, Lewis, W E, Mannion, O M, Morel, J E, Adams, M L, Ampleford, D J

“… Here, we present a modified generalized expectation-maximization algorithm to reconstruct an axial neutron emission profile of the stagnated fusion plasma…”
Zjistit podrobnosti o přístupu

In vitro estimation of fast and slow wave parameters of thin trabecular bone using space-alternating generalized expectation–maximization algorithm Autor Grimes, Morad, Bouhadjera, Abdelmalek, Haddad, Sofiane, Benkedidah, Toufik

“… ► The SAGE algorithm was used as a new approach for slow and fast waves separation. In testing cancellous bone using ultrasound, two types of longitudinal…”
Získat plný text

60-GHz Millimeter-Wave Channel Measurements and Modeling for Indoor Office Environments Autor Wu, Xianyue, Wang, Cheng-Xiang, Sun, Jian, Huang, Jie, Feng, Rui, Yang, Yang, Ge, Xiaohu

“… The multipath component parameters including power, delay, azimuth, and elevation angles are estimated with the space-alternating generalized expectation-maximization estimation algorithm, and then…”
Získat plný text

Generalized expectation–maximization approach to LPV process identification with randomly missing output data Autor Yang, Xianqiang, Huang, Biao, Zhao, Yujia, Lu, Yaojie, Xiong, Weili, Gao, Huijun

“… The multi-model LPV model is adopted and the identification problem is formulated under the scheme of the generalized expectation–maximization (GEM) algorithm…”
Získat plný text

An Expectation Maximization algorithm for fitting the generalized odds‐rate model to interval censored data Autor Zhou, Jie, Zhang, Jiajia, Lu, Wenbin

“… In this paper, we propose a gamma‐Poisson data augmentation approach to develop an Expectation Maximization algorithm, which can be used to fit the generalized odds…”
Získat plný text

sMLACF: a generalized expectation-maximization algorithm for TOF-PET to reconstruct the activity and attenuation simultaneously Autor Salvo, Koen, Defrise, Michel

“… only. Hence sMLACF is an alternative to the MLACF algorithm. sMLACF is derived using the generalized expectation-maximization principle by introducing an appropriate set of complete data…”
Zjistit podrobnosti o přístupu

Space-alternating generalized expectation-maximization algorithm Autor Fessler, J.A., Hero, A.O.

“…The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation problems…”
Získat plný text

Multiple testing for neuroimaging via hidden Markov random field Autor Shu, Hai, Nan, Bin, Koeppe, Robert

“… A generalized expectation–maximization algorithm for maximizing the penalized likelihood is proposed for estimating the model parameters…”
Získat plný text

Research on Multi-Parameter Optimization of Indoor WiFi Positioning Technology Autor WANG Yingying, CHANG Jun, WU Hao

“… On this basis, the Space Alternating Generalized Expectation Maximization algorithm(SAGE) is used to refine the wrong original parameters to a narrow…”
Získat plný text

Analysis of a generalised expectation-maximisation algorithm for Gaussian mixture models: a control systems perspective Autor Chatterjee, Sarthak, Romero, Orlando, Pequito, Sérgio

“…The expectation-maximisation (EM) algorithm is one of the most popular methods used to solve the problem of parametric distribution-based clustering in unsupervised learning…”
Získat plný text

Robust global identification of linear parameter varying systems with generalised expectation–maximisation algorithm Autor Yang, Xianqiang, Lu, Yaojie, Yan, Zhibin

“… In order to handle outliers in process modelling, the robust LPV modelling problem is formulated and solved in the scheme of generalised expectation–maximisation (GEM) algorithm…”
Získat plný text

Asynchronous Linear Modulation Classification With Multiple Sensors via Generalized EM Algorithm Autor Ozdemir, Onur, Wimalajeewa, Thakshila, Dulek, Berkan, Varshney, Pramod K., Wei Su

“… We develop a novel hybrid maximum likelihood (HML) classification scheme based on a generalized expectation maximization (GEM) algorithm…”
Získat plný text

Scatterer Localization Using Large-Scale Antenna Arrays Based on a Spherical Wave-Front Parametric Model Autor Xuefeng Yin, Wang, Stephen, Nan Zhang, Bo Ai

“…In this contribution, an algorithm based on the space-alternating generalized expectation-maximization principle is proposed for estimating the locations of scatterers involved in the last-hops…”
Získat plný text

Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models Autor Fung, Tsz Chai

“… Since the MWLE has a probabilistic interpretation, we are able to develop two distinctive versions of the Generalized Expectation-Maximization (GEM…”
Získat plný text

Probability-Based Identification of Hammerstein Systems With Asymmetric Noise Characteristics Autor Liu, Xin, Wang, Chen, Dai, Wei

“…In the existing identification algorithms, the output noise is usually modeled by using the thick-tailed Laplace and Student's t-distributions instead of the Gaussian distribution to acquire…”
Získat plný text

An expectation-maximization algorithm for the exponential-generalized inverse Gaussian regression model with varying dispersion and shape for modelling the aggregate claim amount Autor Tzougas, George, Jeong, Himchan

“… The maximum likelihood estimation of the model parameters is achieved through a novel Expectation Maximization (EM…”
Získat plný text

Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions Autor Dang, Utkarsh J., Gallaugher, Michael P.B., Browne, Ryan P., McNicholas, Paul D.

“… A generalized expectation-maximization approach, which combines minorization-maximization and optimization based on accelerated line search algorithms on the Stiefel manifold, is used for parameter estimation. These mixtures are implemented both in the unsupervised and semi-supervised classification frameworks. Both simulated and real data are used for illustration and comparison to other mixture families…”
Získat plný text

A Framework for Developing and Evaluating Algorithms for Estimating Multipath Propagation Parameters From Channel Sounder Measurements Autor Sayeed, Akbar M., Guven, Damla, Doebereiner, Michael, Semper, Sebastian, Gentile, Camillo, Bodi, Anuraag, Cheng, Zihang

“…A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs…”
Získat plný text

Self-tuning robust adjustment within multivariate regression time series models with vector-autoregressive random errors Autor Kargoll, Boris, Kermarrec, Gaël, Korte, Johannes, Alkhatib, Hamza

“…The iteratively reweighted least-squares approach to self-tuning robust adjustment of parameters in linear regression models with autoregressive (AR) and…”
Získat plný text

Cross-ambiguity function domain multipath channel parameter estimation Autor Guldogan, Mehmet Burak, Arikan, Orhan

“…) of array outputs, hence, it is called as the cross-ambiguity function direction finding (CAF-DF). The performance of the CAF-DF technique is compared with the space-alternating generalized expectation…”
Získat plný text