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Wiley电子期刊(5)	SpringerLink电子期刊(871)	NATURE电子期刊(1)	ACS电子期刊(6)
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在“Elsevier电子期刊”中，命中：782条，耗时：0.1609229 秒

在所有数据库中总计命中：1,763条

1.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

2.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

3.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

4.Robust multi-source adaptation visual classification using supervised low-rank representation

作者：JianWen Tao^a ; ^{jianwen_tao@aliyun.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Dawei Song^bAuthor Vitae ; Shiting Wen^aAuthor Vitae ; Wenjun Hu^cAuthor Vitae

关键词：Multiple source domain adaptation ; Transfer learning ; Supervised low rank representation ; Visual classification

刊名：Pattern Recognition

出版年：2017

5.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

6.View-aligned hypergraph learning for Alzheimer’s disease diagnosis with incomplete multi-modality data

作者：Mingxia Liu^a ; ^{mxliu1226@gmail.com} ; Jun Zhang^a ; Pew-Thian Yap^a ; Dinggang Shen ; ^a ; ^b ; ^{dgshen@med.unc.edu}

关键词：Multi-modality ; Incomplete data ; Alzheimer&rsquo ; s disease ; Classification

刊名：Medical Image Analysis

出版年：2017

7.Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

作者：Wei Shen^a ; ^b ; ^{wei.shen@ia.ac.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Mu Zhou^cAuthor Vitae ; Feng Yang^d ; ^{fengyang@bjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Dongdong Yu^a ; ^bAuthor Vitae ; Di Dong^a ; ^bAuthor Vitae ; Caiyun Yang^a ; ^bAuthor Vitae ; Yali Zang^a ; ^bAuthor Vitae ; Jie Tian^a ; ^b ; ^{tian@ieee.org" class="auth_mail" title="E-mail the corresponding author} ; Author Vitae

关键词：Lung nodule ; Malignancy suspiciousness ; Convolutional neural network ; Multi-crop pooling

刊名：Pattern Recognition

出版年：2017

8.Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion

作者：Jing Chai^a ; ^{jingchai@aliyun.com} ; ^{jing_chai@hotmail.com} ; Bo Chen^b ; Fan Liu^a ; Zehua Chen^a ; Xinghao Ding^c

关键词：Multiple-instance learning ; Feature extraction ; Dimensionality reduction ; Maximum trace-difference

刊名：Information Sciences

出版年：2017

9.Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources

作者：Fangzhao Wu ; ^a ; ^b ; ^{wfz12@mails.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Yongfeng Huang^a ; ^b ; Zhigang Yuan^a ; ^b

关键词：Sentiment classification ; Information fusion ; Domain adaptation

刊名：Information Fusion

出版年：2017

10.Improving scalability of ART neural networks

作者：Fernando Benites ; ^{Fernando.Benites@uni-konstanz.de}Author Vitae ; Elena Sapozhnikova ^{Elena.Sapozhnikova@uni-konstanz.de}Author Vitae

关键词：Neural networks ; Adaptive resonance theory ; Clustering ; Classification ; Multi-label classification

刊名：Neurocomputing

出版年：2017

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