Search Results - Weighted expectation maximization algorithm

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

“… In this paper, we are interested in the case of co-citation networks, where the nodes are words and each edge joining a pair of words is weighted by the number of co-citation of these two words…”
Get full text

Weighted expectation maximization reconstruction algorithms for thermoacoustic tomography by Jin Zhang, Anastasio, M.A., Xiaochuan Pan, Wang, L.V.

“… In this correspondence, we propose an infinite family of weighted expectation maximization (EM) algorithms for reconstruction of images from temporally truncated TAT measurement data…”
Get full text

XRCT image processing for sand fabric reconstruction by Tan, Peng, Wijesuriya, Hasitha Sithadara, Sitar, Nicholas

“…We explore computationally efficient techniques to improve the XRCT image processing of low resolution and very noisy images for use in reconstruction of the…”
Get full text

Step-and-shoot Dynamic Whole-body PET Parametric Imaging with Weighted Expectation Maximization Algorithm by Ye, Qing, Zhao, Yizhang, Xu, Hancong, Lv, Yang, Dong, Yun

“…Dynamic whole-body PET parametric imaging has been widely investigated and demonstrated clinically feasibility. In the step-and-shoot dynamic protocol, an…”
Get full text

A New Spatial Filtering Algorithm for Noisy and Missing GNSS Position Time Series Using Weighted Expectation Maximization Principal Component Analysis: A Case Study for Regional GNSS Network in Xinjiang Province by Li, Wudong, Li, Zhao, Jiang, Weiping, Chen, Qusen, Zhu, Guangbin, Wang, Jian

“… However, such methodologies become inappropriate when missing and noisy data exists. In this research, we introduce a novel spatial filtering algorithm called Weighted Expectation Maximization Principal Component Analysis (WEMPCA…”
Get full text

Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography by Zhang, Jin, Shi, Daxin, Anastasio, Mark A, Sillanpaa, Jussi, Chang, Jenghwa

“…We propose and investigate weighted expectation maximization (EM) algorithms for image reconstruction in x-ray tomography…”
Get more information

A new automatic algorithm for quantification of myocardial infarction imaged by late gadolinium enhancement cardiovascular magnetic resonance: experimental validation and comparison to expert delineations in multi-center, multi-vendor patient data by Engblom, Henrik, Tufvesson, Jane, Jablonowski, Robert, Carlsson, Marcus, Aletras, Anthony H., Hoffmann, Pavel, Jacquier, Alexis, Kober, Frank, Metzler, Bernhard, Erlinge, David, Atar, Dan, Arheden, Håkan, Heiberg, Einar

“… delineations in multi-center, multi-vendor patient data. The new automatic algorithm, EWA (Expectation Maximization, weighted intensity, a priori information…”
Get full text

Because Muncie's Densities Are Not Manhattan's: Using Geographical Weighting in the Expectation–Maximization Algorithm for Areal Interpolation by Schroeder, Jonathan P., Van Riper, David C.

“…–maximization (EM) algorithm and geographically weighted regression. The EM algorithm provides a framework for incorporating proper constraints on data…”
Get full text

WemIQ: an accurate and robust isoform quantification method for RNA-seq data by Zhang, Jing, Kuo, C.-C. Jay, Chen, Liang

“…). WemIQ integrates an effective bias removal with a weighted expectation maximization (EM) algorithm to distribute reads among isoforms efficiently…”
Get full text

Community detection for multilayer weighted networks by Chen, Yan, Mo, Dongxu

“… A variational expectation-maximisation algorithm is derived to estimate the parameters of interest…”
Get full text

On weighting clustering by Nock, R., Nielsen, F.

“… The motivations come principally from an analogy with powerful supervised classification methods known as boosting algorithms…”
Get full text

A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes by Zhang, Miao, Xu, Beike, Zhou, Le, Zheng, Hui, Jie, Jing

“… Then, the expectation maximization algorithm is applied to estimate the model parameters and a locally weighted regression…”
Get full text

Estimation for zero‐inflated beta‐binomial regression model with missing response data by Luo, Rong, Paul, Sudhir

“… A weighted expectation maximization algorithm is used for the maximum likelihood estimation of the parameters involved…”
Get full text

Cardiovascular Magnetic Resonance to Predict Appropriate Implantable Cardioverter Defibrillator Therapy in Ischemic and Nonischemic Cardiomyopathy Patients Using Late Gadolinium Enhancement Border Zone: Comparison of Four Analysis Methods by Jablonowski, Robert, Chaudhry, Uzma, van der Pals, Jesper, Engblom, Henrik, Arheden, Håkan, Heiberg, Einar, Wu, Katherine C, Borgquist, Rasmus, Carlsson, Marcus

“… Two semiautomatic algorithms, expectation maximization, weighted intensity, a priori information and a weighted border zone algorithm, were compared with a modified full-width half-maximum…”
Get more information

Segmentation of diffusion-weighted brain images using expectation maximization algorithm initialized by hierarchical clustering by Chia-Feng Lu, Po-Shan Wang, Chou, Yen-Chun, Li, Hsiao-Chien, Bing-Wen Soong, Wu, Yu-Te

“…Tissue segmentation based on diffusion-weighted images (DWI) provides complementary information of tissue contrast to the structural MRI for facilitating the tissue segmentation…”
Get full text

Bayesian Generalized Linear Models for Analyzing Compositional and Sub‐Compositional Microbiome Data via EM Algorithm by Zhang, Li, Ding, Zhenying, Cui, Jinhong, Zhou, Xiaoxiao, Yi, Nengjun

“… Various approaches, including penalized regression and Markov Chain Monte Carlo (MCMC) algorithms, have been extended to enforce this sum‐to‐zero constraint…”
Get full text

Sample-weighted clustering methods by Yu, Jian, Yang, Miin-Shen, Lee, E. Stanley

“… Such method can generate the sample-weighted versions of most clustering algorithms, such as k -means, fuzzy c -means (FCM) and expectation & maximization (EM), etc…”
Get full text

Cross entropy-based importance sampling using Gaussian densities revisited by Geyer, Sebastian, Papaioannou, Iason, Straub, Daniel

“…•We compare two distributions as sampling densities in the cross entropy method.•A modified expectation-maximization algorithm is proposed for fitting the parameters…”
Get full text

An accelerated failure time regression model for illness–death data: A frailty approach by Kats, Lea, Gorfine, Malka

“… A semiparametric maximum likelihood estimation procedure is developed via a kernel smoothed‐aided expectation‐maximization algorithm, and variances are estimated…”
Get full text

Estimation for zero-inflated over-dispersed count data model with missing response by Mian, Rajibul, Paul, Sudhir

“… A weighted expectation maximization algorithm is used for the maximum likelihood estimation of the parameters involved…”
Get full text