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Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts 会议论文
In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016, Phoenix, February 12–17
作者:  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Tan, Tieniu
Adobe PDF(688Kb)  |  收藏  |  浏览/下载:1296/570  |  提交时间:2016/10/24
Contextual Information  Recurrent Neural Networks  
SAPE: A System for Situation-Aware Public Security Evaluation 会议论文
In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, February 12–17
作者:  Wu, Shu;  Liu, Qiang;  Bai, Ping;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(988Kb)  |  收藏  |  浏览/下载:333/92  |  提交时间:2016/10/24
Event Prediction  Public Security  Recurrent Neural Networks  
Information Credibility Evaluation on Social Media 会议论文
In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, February 12–17
作者:  Wu, Shu;  Liu, Qiang;  Liu, Yong;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(604Kb)  |  收藏  |  浏览/下载:464/160  |  提交时间:2016/10/24
Information Credibility  Social Media  
MC-HOG Correlation Tracking with Saliency Proposal 会议论文
In Proceedings of The Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Arizona USA, February 12-17
作者:  Zhu, Guibo;  Wang, Jinqiao;  Wu, Yi;  Zhang, Xiaoyu;  Lu, Hanqing;  Jinqiao Wang
浏览  |  Unknown(596Kb)  |  收藏  |  浏览/下载:439/118  |  提交时间:2016/06/27
Visual Tracking  Saliency Proposals  Mc-hog