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在“Elsevier电子期刊”中，命中：346条，耗时：小于0.01 秒

1.A Bayesian approach for sparse flaw detection from noisy signals for ultrasonic NDT

作者：Biao Wu^a ; ^b ; ; Yong Huang^a ; Sridhar Krishnaswamy^b

关键词：Ultrasonic nondestructive testing ; Sparse Bayesian learning ; Rayleigh scattering ; Flaw detection ; De-noising

刊名：NDT & E International

出版年：2017

2.Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application

作者：Yong Huang^a ; ^b ; James L. Beck^b ; ^{jimbeck@caltech.edu} ; Hui Li^a

关键词：Inverse problems ; Hierarchical sparse Bayesian learning ; Model updating ; Structural health monitoring ; Damage detection ; Bayesian Ockham razor ; IASC-ASCE benchmark problems

刊名：Structural Safety

出版年：2017

3.A simplification-translation-restoration framework for domain adaptation in statistical machine translation: A case study in medical record translation

作者：Han-Bin Chen ; Hen-Hsen Huang ; ^{hhhuang@nlg.csie.ntu.edu.tw} ; An-Chang Hsieh ; Hsin-Hsi Chen ; ^{hbchen@nlg.csie.ntu.edu.tw}

关键词：Cross-domain SMT ; Domain adaptation ; Statistical machine translation ; Medical document processing

刊名：Computer Speech & Language

出版年：2017

4.A Simple Computational Model of the Bee Mushroom Body Can Explain Seemingly Complex Forms of Olfactory Learning and Memory

作者：Fei Peng¹ ; Lars Chittka¹ ; ² ; ^{l.chittka@qmul.ac.uk}

关键词：configural learning ; honeybee ; negative patterning discrimination ; olfaction ; peak shift ; positive patterning discrimination

刊名：Current Biology

出版年：2017

5.Dictionary learning with the cosparse analysis model based on summation of blocked determinants as the sparseness measure

作者：Yujie Li ; ^{yujieli0216@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Shuxue Ding ^{sding@u-aizu.ac.jp" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Zhenni Li ^{lizhenni2012@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Sparse representation ; Analysis dictionary learning ; Summation of blocked determinants measure of sparseness (SBDMS) ; Nonnegative ; Analysis model

刊名：Digital Signal Processing

出版年：2016

6.Graph regularized and sparse nonnegative matrix factorization with hard constraints for data representation

作者：Fuming Sun ; ^{sunwenfriend@hotmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Meixiang XuAuthor Vitae ; Xuekao HuAuthor Vitae ; Xiaojun JiangAuthor Vitae

关键词：Nonnegative matrix factorization ; Graph-based regularizer ; Sparseness constraints ; Label information

刊名：Neurocomputing

出版年：2016

7.A novel quadrature particle filtering based on fuzzy c-means clustering

作者：Li Liang-qun ; ^{lqli@szu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Xie Wei-xinAuthor Vitae ; Liu Zong-xiangAuthor Vitae

关键词：Sequential importance sampling ; Quadrature particle filter ; Gauss&ndash ; Hermite quadrature ; Fuzzy c-means clustering ; Aperiodic sparseness sampling

刊名：Knowledge-Based Systems

出版年：2016

8.Large-scale functional network overlap is a general property of brain functional organization: Reconciling inconsistent fMRI findings from general-linear-model-based analyses

作者：Jiansong Xu^a ; ^{Jiansong.xu@yale.edu} ; Marc N. Potenza^a ; ^b ; ^c ; ^d ; ^e ; Vince D. Calhoun^a ; ^f ; ^g ; Rubin Zhang^a ; Sarah W. Yip^a ; ^d ; John T. Wall^h ; Godfrey D. Pearlson^a ; ^c ; ⁱ ; Patrick D. Worhunsky^a ; Kathleen A. Garrison^a ; Joseph M. Moran^j ; ^k

关键词：fMRI ; GLM ; ICA ; Functional network overlap ; Default mode network ; Balanced excitation and inhibition ; Sparseness of neuronal activity

刊名：Neuroscience & Biobehavioral Reviews

出版年：2016

9.Recursive reduced kernel based extreme learning machine for aero-engine fault pattern recognition

作者：Cheng-Xin You^a ; ^c ; ^{ycx0910@sina.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jin-Quan Huang^a ; ^b ; ^{jhuang@nuaa.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Feng Lu^a ; ^b ; ^c ; ^{lufengnuaa@126.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Extreme learning machine ; Kernel method ; Sparseness ; Reduced technique ; Aero-engine ; Fault pattern recognition

刊名：Neurocomputing

出版年：2016

10.Elucidating the Neuronal Architecture of Olfactory Glomeruli in the Drosophila Antennal Lobe

作者：Veit Grabe¹ ; ³ ; Amelie Baschwitz¹ ; ³ ; Hany K.M. Dweck¹ ; ² ; Sofia Lavista-Llanos¹ ; Bill S. Hansson¹ ; Silke Sachse¹ ; ⁴ ; ^{ssachse@ice.mpg.de" class="auth_mail" title="E-mail the corresponding author}

关键词：olfactory sensory neurons ; odor response profiles ; projection neurons ; glomerular volume ; lifetime sparseness

刊名：Cell Reports

出版年：2016

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