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在“Elsevier电子期刊”中，命中：1,624条，耗时：0.0269817 秒

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1.Approximate Chernoff fusion of Gaussian mixtures for ballistic target tracking in the re-entry phase

作者：Kelin Lu^a ; ^{klu@buaa.edn.cn} ; Rui Zhou^a ; Jie Zhang^b

关键词：Ballistic target tracking ; Gaussian mixtures fusion ; Track-to-track fusion

刊名：Aerospace Science and Technology

出版年：2017

2.Model selection for Gaussian mixture model based on desirability level criterion

作者：Weishi Peng ^{peng_weishi@163.com}

关键词：Gaussian mixture model ; EM algorithm ; Model selection ; Desirability level criterion

刊名：Optik - International Journal for Light and Electron Optics

出版年：2017

3.Dynamic soft sensor development based on Gaussian mixture regression for fermentation processes

作者：Congli Mei ; ^{clmei@ujs.edu.cn} ; Yong Su ; Guohai Liu ; Yuhan Ding ; Zhiling Liao

关键词：Dynamic modeling ; Process systems ; Instrumentation ; Gaussian mixture regression ; Fermentation processes

刊名：Chinese Journal of Chemical Engineering

出版年：2017

4.Equivalent linearization method using Gaussian mixture (GM-ELM) for nonlinear random vibration analysis

作者：Ziqi Wang^a ; Junho Song^b ; ^{junhosong@snu.ac.kr}

关键词：Equivalent linearization ; First-passage probability ; Gaussian mixture ; Mean up-crossing rate ; Nonlinear analysis ; Random vibration ; Response spectrum

刊名：Structural Safety

出版年：2017

5.Regularized non-negative matrix factorization with Gaussian mixtures and masking model for speech enhancement

作者：Hanwook Chung ; ^a ; ^{hanwook.chung@mail.mcgill.ca} ; Eric Plourde^b ; ^{eric.plourde@usherbrooke.ca} ; Benoit Champagne^a ; ^{benoit.champagne@mcgill.ca}

关键词：Single-channel speech enhancement ; Supervised algorithm ; Non-negative matrix factorization ; Regularization ; Gaussian mixture model ; Masking effects

刊名：Speech Communication

出版年：2017

6.Gaussian Mixture Model for 3-DoF orientations

作者：Seungsu Kim ; ^{skim@techfak.uni-bielefeld.de}Author Vitae ; Robert Haschke ^{rhaschke@techfak.uni-bielefeld.de}Author Vitae ; Helge Ritter ^{helge@techfak.uni-bielefeld.de}Author Vitae

关键词：Gaussian Mixture Model ; Unit quaternions ; Machine learning ; Reachable space

刊名：Robotics and Autonomous Systems

出版年：2017

7.MUSIC-Expected maximization gaussian mixture methodology for clustering and detection of task-related neuronal firing rates

作者：Alexis Ortiz-Rosario ; Ph.D. student^a ; Hojjat Adeli^b ; ^{adeli.1@osu.edu" class="auth_mail" title="E-mail the corresponding author} (Dist. Member ASCE ; Fellow IEEE ; Fellow AAAS ; Fellow American Neurological Assoc. Professor) ; John A. Buford^c (Associate Professor ; Director)

关键词：Multiple signal classification ; Gaussian mixture model ; Expectation-maximization algorithm ; Firing rate ; Neurons ; Signal processing ; Empirical wavelet transform

刊名：Behavioural Brain Research

出版年：2017

8.General split gaussian Cross-Entropy clustering

作者：Przemysław Spurek¹ ; ^{przemyslaw.spurek@ii.uj.edu.pl" class="auth_mail" title="E-mail the corresponding author}

关键词：Clustering ; Split gaussian ; Expectation maximization ; Gaussian mixture model ; Cross&ndash ; Entropy clustering

刊名：Expert Systems with Applications

出版年：2017

9.A critical review on probabilistic load flow studies in uncertainty constrained power systems with photovoltaic generation and a new approach

作者：B Rajanarayan Prusty ^{b.r.prusty@ieee.org} ; Debashisha Jena ; ^{bapu4002@gmail.com}

关键词：Correlation ; Gaussian mixture approximation ; Photovoltaic generation ; Probabilistic load flow ; Probability density function

刊名：Renewable and Sustainable Energy Reviews

出版年：2017

10.Parametric methods for confidence interval estimation of overlap coefficients

作者：Dan Wang^a ; ^b ; Lili Tian^a ; ^{ltian@buffalo.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：High-throughput platforms ; Genomic biomarker ; Overlap coefficient ; Generalized inference ; Parametric bootstrapping ; Mixture Gaussian ; EMEM algorithm

刊名：Computational Statistics & Data Analysis

出版年：2017

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