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Wiley电子期刊(1)	SpringerLink电子期刊(305)	Elsevier电子期刊(196)
Springer电子图书(15)	ProQuest学位论文(17)	ACS电子期刊(2)

在“Elsevier电子期刊”中，命中：196条，耗时：0.0449906 秒

在所有数据库中总计命中：536条

1.MREKLM: A fast multiple empirical kernel learning machine

作者：Qi Fan^aAuthor Vitae ; Zhe Wang^a ; ^c ; ^{wangzhe@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Hongyuan Zha^bAuthor Vitae ; Daqi Gao^a ; ^{gaodaqi@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Multiple Kernel Learning ; Empirical Kernel Mapping ; Random projection ; Analytical optimization ; Classifier design ; Pattern recognition

刊名：Pattern Recognition

出版年：2017

2.Characterization of myocardial motion patterns by unsupervised multiple kernel learning

作者：Sergio Sanchez-Martinez ; ^a ; ^{sergio.sanchezm@upf.edu" class="auth_mail" title="E-mail the corresponding author} ; Nicolas Duchateau^c ; Tamas Erdei^d ; Alan G. Fraser^d ; Bart H. Bijnens^a ; ^b ; Gemma Piella^a

关键词：Myocardial motion ; Echocardiography ; Multiple kernel learning ; Pattern analysis

刊名：Medical Image Analysis

出版年：2017

3.Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning

作者：Olfa Ben Ahmed^a ; ^{olfa.ben-ahmed@unilim.fr}Author Vitae ; Jenny Benois-Pineau^b ; ^{jenny.benois@labri.fr}Author Vitae ; Michelle Allard^c ; ^d ; ^e ; ^{michelle.allard@chu-bordeaux.fr}Author Vitae ; Gwé ; naë ; lle Catheline^c ; ^d ; ^e ; ^{gwenaelle.catheline@chu-bordeaux.fr}Author Vitae ; Chokri Ben Amar^f ; ^{chokri.benamar@ieee.org}Author Vitae ; For the Alzheimer's Disease Neuroimaging Initiative¹

关键词：Alzheimer's disease ; Multiple Kernel Learning ; Mutlimodal fusion ; Diagnosis ; Local features ; DTI ; MD maps ; CHFs ; Imaging biomarkers

刊名：Neurocomputing

出版年：2017

4.Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children

作者：Hongwei Wen^a ; ^b ; ^c ; ¹Author Vitae ; Yue Liu^e ; ¹Author Vitae ; Islem Rekik^gAuthor Vitae ; Shengpei Wang^a ; ^b ; ^cAuthor Vitae ; Zhiqiang Chen^a ; ^b ; ^cAuthor Vitae ; Jishui Zhang^fAuthor Vitae ; Yue Zhang^eAuthor Vitae ; Yun Peng^e ; ^{ppengyun@yahoo.com}Author Vitae ; Huiguang He^a ; ^b ; ^c ; ^d ; ^{huiguang.he@ia.ac.cn}Author Vitae

关键词：TS ; Tourette syndrome ; DTI ; diffusion tensor imaging ; WM ; white matter ; SVM ; support vector machine ; MKL ; multiple kernel learning ; TBSS ; Tract-Based Spatial Statistics

刊名：Pattern Recognition

出版年：2017

5.MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation

作者：A.W.C. Faria^a ; F.G.F. Coelho^a ; A.M. Silva^b ; H.P. Rocha^a ; G.M. Almeida^c ; A.P. Lemos^a ; A.P. Braga^a ;

关键词：Multiple instance learning ; KDE ; Instance selection ; Instance ranking

刊名：Engineering Applications of Artificial Intelligence

出版年：2017

6.Feature selection and multiple kernel boosting framework based on PSO with mutation mechanism for hyperspectral classification

作者：Chengming Qi^a ; ^b ; ^{chming.qi@gmail.com}Author Vitae ; Zhangbing Zhou^a ; ^c ; ^{zhangbing.zhou@gmail.com}Author Vitae ; Yunchuan Sun^dAuthor Vitae ; Houbing Song^e ; ^{Houbing.Song@mail.wvu.edu}Author Vitae ; Lishuan Hu^a ; ^b ; ^{hulishuan@163.com}Author Vitae ; Qun Wang^a ; ^{qunw@cugb.edu.cn}Author Vitae

关键词：Ensemble learning ; Feature selection ; Hyperspectral remote sensing image ; Multiple kernel boosting

刊名：Neurocomputing

出版年：2017

7.Supervised aggregated feature learning for multiple instance classification

作者：Rocco Langone ; ^{rocco.langone@esat.kuleuven.be" class="auth_mail" title="E-mail the corresponding author} ; Johan A.K. Suykens

关键词：Multi-instance classification ; Kernel PCA ; Kernel spectral clustering

刊名：Information Sciences

出版年：2017

8.Path planning of multi-agent systems in unknown environment with neural kernel smoothing and reinforcement learning

作者：David Luviano CruzAuthor Vitae ; Wen Yu ; ^{yuw@ctrl.cinvestav.mx}Author Vitae

关键词：Multi-agent ; Kernel smoothing ; Reinforcement learning

刊名：Neurocomputing

出版年：2017

9.An automatic BI-RADS description of mammographic masses by fusing multiresolution features

作者：Fabiá ; n Narvá ; ez^a ; ^{frnarvaeze@unal.edu.co} ; Gloria Dí ; az^b ; ^{gloriadiaz@itm.edu.co} ; Cesar Poveda^a ; ^c ; ^{capovedas@unal.edu.co} ; Eduardo Romero ; ^a ; ^{edromero@unal.edu.co}

关键词：BI-RADS mammographic lexicon ; Mammographic mass description ; Zernike moments ; Curvelet transform ; Multiple kernel learning

刊名：Expert Systems with Applications

出版年：2017

10.Detecting retinal microaneurysms and hemorrhages with robustness to the presence of blood vessels

作者：Ruchir Srivastava^a ; ^{srivastavar@i2r.a-star.edu.sg} ; Lixin Duan^a ; ¹ ; Damon W.K. Wong^a ; Jiang Liu^a ; ² ; Tien Yin Wong^b

关键词：Diabetic Retinopathy ; Multiple kernel learning ; Automated detection ; Retinal fundus images

刊名：Computer Methods and Programs in Biomedicine

出版年：2017

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