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Wiley电子期刊(6)	SpringerLink电子期刊(952)	Elsevier电子期刊(821)
Springer电子图书(10)	ProQuest学位论文(87)	ACS电子期刊(5)

在“Elsevier电子期刊”中，命中：821条，耗时：0.1349366 秒

在所有数据库中总计命中：1,881条

1.Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning

作者：Sen Xia^a ; ^b ; ^c ; ^fAuthor Vitae ; Peng Chen^dAuthor Vitae ; Jun Zhang^eAuthor Vitae ; Xiaoping Li^fAuthor Vitae ; Bing Wang^a ; ^b ; ^c ; ^{wangbing@ustc.edu}Author Vitae

关键词：LBP ; Connected regions ; Histogram distribution ; Multi-label learning ; Automatic image annotation

刊名：Neurocomputing

出版年：2017

2.Multi-label methods for prediction with sequential data

作者：Jesse Read^a ; ^b ; ^{jesse.read@polytechnique.edu}Author Vitae ; Luca Martino^c ; ^dAuthor Vitae ; Jaakko Hollmé ; n^bAuthor Vitae

关键词：Multi-label classification ; Problem transformation ; Sequential data ; Sequence prediction ; Markov models

刊名：Pattern Recognition

出版年：2017

3.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

4.Image multi-label annotation based on supervised nonnegative matrix factorization with new matching measurement

作者：Xu Jia^a ; ^{gbjdjiaxu@163.com}Author Vitae ; Fuming Sun^aAuthor Vitae ; Haojie Li^bAuthor Vitae ; Yudong Cao^aAuthor Vitae ; Xing Zhang^aAuthor Vitae

关键词：Nonnegative matrix factorization ; Multi-label annotation ; Supervised learning ; Matching measurement

刊名：Neurocomputing

出版年：2017

5.Designing multi-label classifiers that maximize F measures: State of the art

作者：Ignazio Pillai ^{pillai@diee.unica.it" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Giorgio Fumera ; ^{fumera@diee.unica.it" class="auth_mail" title="E-mail the corresponding author} ; Author Vitae ; Fabio Roli ^{roli@diee.unica.it" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Multi-label classification ; F measure ; Learning algorithms ; Empirical utility maximization ; Decision-theoretic approach

刊名：Pattern Recognition

出版年：2017

6.PAC-Bayes analysis of multi-view learning

作者：Shiliang Sun ; ^a ; ^{shiliangsun@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; ^{slsun@cs.ecnu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; John Shawe-Taylor^b ; Liang Mao^a

关键词：PAC-Bayes bound ; Statistical learning theory ; Support vector machine ; Multi-view learning

刊名：Information Fusion

出版年：2017

7.Feature and label relation modeling for multiple-facial action unit classification and intensity estimation

作者：Shangfei Wang^a ; ^{sfwang@ustc.edu.cn}Author Vitae ; Jiajia Yang^a ; ^{yang25@mail.ustc.edu.cn}Author Vitae ; Zhen Gao^a ; ^{gzgqllxh@mail.ustc.edu.cn}Author Vitae ; Qiang Ji^b ; ^{qji@ecse.rpi.edu}Author Vitae

关键词：AU recognition ; AU intensity estimation ; AU relation modeling ; Multi-task feature learning ; Bayesian network

刊名：Pattern Recognition

出版年：2017

8.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

9.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

10.A multi-stage Smart Energy Management System under multiple uncertainties: A data mining approach

作者：M. Parvizimosaed ; F. Farmani ; H. Monsef ; ^{hmonsef@ut.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; A. Rahimi-Kian

关键词：Multi-stage energy management ; Data mining algorithm ; Multi-objective optimization ; Offline and online decision making

刊名：Renewable Energy

出版年：2017

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