CASIA OpenIR
(Note: the search results are based on claimed items)

Browse/Search Results:  1-5 of 5 Help

Filters            
Selected(0)Clear Items/Page:    Sort:
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
View  |  Adobe PDF(910Kb)  |  Favorite  |  View/Download:164/36  |  Submit date:2016/12/26
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:155/58  |  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:132/29  |  Submit date:2016/04/26
Landmark Temporal Themes  Online Theme Model  Periodic Themes  
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
Adobe PDF(2027Kb)  |  Favorite  |  View/Download:110/21  |  Submit date:2016/01/18
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:149/46  |  Submit date:2016/01/18
Application  Knowledge Mining  Probabilistic Topic Model