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Elsevier电子期刊(59)

在“Elsevier电子期刊”中，命中：59条，耗时：0.0270181 秒

在所有数据库中总计命中：99条

1.Three-dimensional magnetic nanoparticle imaging using small field gradient and multiple pickup coils

作者：Teruyoshi Sasayama ; ^{sasayama@sc.kyushu-u.ac.jp} ; Yuya Tsujita ; Manabu Morishita ; Masahiro Muta ; Takashi Yoshida ; Keiji Enpuku

关键词：Magnetic particle imaging ; Multiple pickup coils ; Gradient field ; Nonnegative least squares method ; Three-dimensional imaging

刊名：Journal of Magnetism and Magnetic Materials

出版年：2017

2.Dimensional hyper-reduction of nonlinear finite element models via empirical cubature

作者：J.A. Herná ; ndez^a ; ^b ; ^{jhortega@cimne.upc.edu} ; M.A. Caicedo^a ; A. Ferrer^a ; ^b

关键词：Reduced-order model ; Hyper-reduction ; Optimized cubature ; Finite elements ; Singular Value Decomposition

刊名：Computer Methods in Applied Mechanics and Engineering

出版年：2017

3.Shearlet regularization and dimensionality reduction for the temperature distribution sensing

作者：J. Lei^a ; ^{leijingdr@126.com" class="auth_mail" title="E-mail the corresponding author} ; W.Y. Liu^a ; Q.B. Liu^b ; X.Y. Wang^b ; S. Liu^a

关键词：ALM ; augmented Lagrangian multipliers ; ANN ; artificial neural network ; CS ; compressed sensing ; DRTDS ; dimensionality reduction based temperature distribution sensing ; DST ; discrete Shearlet transform ; GPOD ; gappy proper orthogonal decomposition ; LRMC ; low rank matrix completion ; LSSVM ; least squares support vector machine ; MRE ; mean relative error ; NMF ; nonnegative matrix factorization ; NMS ; Nelder&ndash ; Mead simplex ; PCA ; principle component analysis ; POD ; proper orthogonal decomposition ; PNMF

刊名：Measurement

出版年：2016

4.Source apportionment of trace metals in river sediments: A comparison of three methods

作者：Haiyang Chen ; ^{superbg@163.com" class="auth_mail" title="E-mail the corresponding author} ; Yanguo Teng ; Jiao Li ; Jin Wu ; Jinsheng Wang

关键词：Trace metals ; Source apportionment ; Positive matrix factorization ; Factor analysis with nonnegative constraint ; Multivariate curve resolution weighted-alternating least-squares

刊名：Environmental Pollution

出版年：2016

5.Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition

作者：Qiang Wu ; Liqing Zhang ; Andrzej Cichocki

关键词：Nonnegative Tensor Decomposition ; Convolutive Tucker Model ; Alternating Least Squares (ALS) ; Feature extraction ; Robustness

刊名：Neurocomputing

出版年：10 April, 2014

6.Recurrent neural network for approximate nonnegative matrix factorization

作者：Giovanni Costantini^a ; ^{costanti@uniroma2.it" class="auth_mail}Author Vitae ; Renzo Perfetti^b ; ^{renzo.perfetti@unipg.it" class="auth_mail}Author Vitae ; Massimiliano Todisco^a ; ^{massimiliano.todisco@uniroma2.it" class="auth_mail}Author Vitae

关键词：Recurrent neural networks ; Lagrangian networks ; Nonnegative matrix factorization ; Features extraction ; Clustering

刊名：Neurocomputing

出版年：22 August 2014

7.Soft-sensor development with adaptive variable selection using nonnegative garrote

作者：Jian-Guo Wang ; Shi-Shang Jang ; David Shan-Hill Wong ; Shyan-Shu Shieh ; Chan-Wei Wu

关键词：Nonnegative garrote ; Partial least squares ; Variable selection ; Soft sensor ; Fault detection ; Structural model change

刊名：Control Engineering Practice

出版年：2013

8.A Hermitian least squares solution of the matrix equation subject to inequality restrictions

作者：Ying Li ; Yan Gao ; Wenbin Guo

关键词：Matrix equation ; Hermitian solution ; Least squares solution ; Generalized inverse ; Rank ; Inertia

刊名：Computers and Mathematics with Applications

出版年：2012

9.Efficient Nonnegative Matrix Factorization via projected Newton method

作者：Pinghua Gong ; ^{gph08@mails.tsinghua.edu.cn} ; ^{pinghuag@gmail.com} ; [Author Vitae] ; Changshui Zhang ^{zcs@mail.tsinghua.edu.cn} ; [Author Vitae]

关键词：Nonnegative Matrix Factorization ; Projected Newton method ; Quadratic convergence rate ; Nonnegative least squares ; Low rank

刊名：Pattern Recognition

出版年：2012

10.Performance evaluation of nonnegative matrix factorization algorithms to estimate task-related neuronal activities from fMRI data

作者：Xiaoyu Ding^a ; ^{xyding@image.korea.ac.kr} ; Jong-Hwan Lee^b ; ^{jonghwan_lee@korea.ac.kr} ; Seong-Whan Lee^b ; ^{swlee@image.korea.ac.kr}

关键词：Nonnegative matrix factorization (NMF) ; Blind source separation (BSS) ; Functional magnetic resonance imaging (fMRI) ; Visuomotor task

刊名：Magnetic Resonance Imaging

出版年：2013

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