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Twitter is Faster: Personalized Time-Aware Video Recommendation from Twitter to YouTube 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2014, 卷号: 11, 期号: 2
作者:  Deng, Zhengyu;  Yan, Ming;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1287Kb)  |  收藏  |  浏览/下载:342/92  |  提交时间:2015/08/12
Algorithms  Experimentation  Performance  Short-term Interest  Personalization  Video Recommendation  Time-aware  Cross-platform  
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 期号: 2, 页码: 307-317
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
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Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix  
A Unified Framework of Latent Feature Learning in Social Media 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2014, 卷号: 16, 期号: 6, 页码: 1624-1635
作者:  Yuan, Zhaoquan;  Sang, Jitao;  Xu, Changsheng;  Liu, Yan
Adobe PDF(1544Kb)  |  收藏  |  浏览/下载:297/101  |  提交时间:2015/08/12
Deep Learning  Feature Learning  India Buffet Process  Social Media  
L2 disturbance attenuation for highly dissipative nonlinear spatially distributed processes via HJI approach 期刊论文
Journal of Process Control, 2014, 卷号: 24, 期号: 5, 页码: 550-567
作者:  Wu, Huai-Ning;  Luo, Biao
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Highly Dissipative Partial Differential Equations (Pdes)  
3D SMoSIFT: Three-dimensional Sparse Motion Scale Invariant Feature Transform for Activity Recognition from RGB-D Videos 期刊论文
Journal of Electronic Imaging, 2014, 卷号: 23, 期号: 2, 页码: 023017
作者:  Wan J(万军);  Wan J(万军)
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Bag Of Visual Words Model  Spatiotemporal Feature  Optical Flow  
Budget Planning for Coupled Campaigns in Sponsored Search Auctions 期刊论文
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2014, 卷号: 18, 期号: 3, 页码: 39-65
作者:  Yang, Yanwu;  Qin, Rui;  Jansen, Bernard J.;  Zhang, Jie;  Zeng, Daniel
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Advertising Campaigns  Budget Planning Decision Analysis  Online Advertising  Operations Research In marketIng  Optimal Control  Sponsored Search  Sponsored Search Auctions  
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 卷号: 44, 期号: 3, 页码: 353-362
作者:  Alippi, Cesare;  Liu, Derong;  Zhao, Dongbin;  Bu, Li
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Active Classifiers  Change Detection Tests (Cdts)  Intelligent Sensing  K-nearest Neighbor  Support Vector Machine (Svm) Classifiers