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Semantic Feature Mining for Video Event Understanding 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2016, 卷号: 12, 期号: 4, 页码: 55:1-55:22
Authors:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
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Video Recognition  Event  
STCAPLRS: A Spatial-Temporal Context-Aware Personalized Location Recommendation System 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2016, 卷号: 7, 期号: 4, 页码: 30
Authors:  Fang, Quan;  Xu, Changsheng;  Hossain, M. Shamim;  Muhammad, G.
View  |  Adobe PDF(1480Kb)  |  Favorite  |  View/Download:154/58  |  Submit date:2016/10/20
Algorithms  Experimentation  Performance  Location Recommendation  Topic Model  Matrix Factorization  
An incremental probabilistic model for temporal theme analysis of landmarks 期刊论文
MULTIMEDIA SYSTEMS, 2016, 卷号: 22, 期号: 4, 页码: 465-477
Authors:  Min, Weiqing;  Bao, Bing-Kun;  Xu, Changsheng
View  |  Adobe PDF(1874Kb)  |  Favorite  |  View/Download:131/29  |  Submit date:2016/04/26
Landmark Temporal Themes  Online Theme Model  Periodic Themes  
Multi-Modal Event Topic Model for Social Event Analysis 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 2, 页码: 233-246
Authors:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu;  Jie Shao
View  |  Adobe PDF(3335Kb)  |  Favorite  |  View/Download:244/74  |  Submit date:2016/03/19
Event Evolution  Multi-modality  Social Event Tracking  Social Media  Topic Model  
Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social Regularization 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 12, 页码: 2259-2270
Authors:  Sang, Jitao;  Deng, Zhengyu;  Lu, Dongyuan;  Xu, Changsheng
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Behavior Fusion  Cross-osn User Modeling  Local Social Regularization  Personalization  Video Recommendation  
Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 12, 页码: 2281-2296
Authors:  Fang, Quan;  Xu, Changsheng;  Sang, Jitao;  Hossain, M. Shamim;  Muhammad, Ghulam
Adobe PDF(5572Kb)  |  Favorite  |  View/Download:148/45  |  Submit date:2016/01/18
Application  Knowledge Mining  Probabilistic Topic Model