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Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 2, 页码: 307-320
作者:  Zeng, Yi;  Zhao, Yuxuan;  Bai, Jun;  Xu, Bo
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Robot Self-consciousness  Robot Bodily Self Model  Stdp Learning  Self-recognition  
Developing a cooperative bidding framework for sponsored search markets - An evolutionary perspective 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 369, 期号: NA, 页码: 674-689
作者:  Yuan, Yong;  Wang, Fei-Yue;  Zeng, Daniel
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Sponsored Search  Bid Inflation  Evolutionary Game Theory  Coevolutionary Simulation  
Analysis of symptoms and their potential associations with e-liquids' components: a social media study 期刊论文
BMC PUBLIC HEALTH, 2016, 卷号: 16, 期号: 674, 页码: 1-12
作者:  Li, Qiudan;  Zhan, Yongcheng;  Wang, Lei;  Leischow, Scott J.;  Zeng, Daniel Dajun;  Daniel Dajun Zeng
浏览  |  Adobe PDF(820Kb)  |  收藏  |  浏览/下载:283/13  |  提交时间:2016/10/23
E-cigarette  E-juice  E-liquid  Flavors  Vg  Pg  Nicotine  Symptoms  Reddit  Social Media  
Top–down visual attention integrated particle filter for robust object tracking 期刊论文
Signal Processing: Image Communication, 2016, 卷号: 43, 期号: 无, 页码: 28-41
作者:  Li, Wanyi;  Wang, Peng;  Qiao, Hong
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Object Tracking  Visual Attention  Saliency  Particle Filter  Abrupt Motion  Occlusion  
Co-evolution-based mechanism design for sponsored search advertising 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2012, 卷号: 11, 期号: 6, 页码: 537-547
作者:  Yuan, Yong;  Zeng, Daniel
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Sponsored Search Advertising  Mechanism Design  Co-evolutionary Simulation  Niche-based Evolution  
Portrayal of electronic cigarettes on YouTube 期刊论文
BMC PUBLIC HEALTH, 2014, 卷号: 14, 期号: 1, 页码: 1028
作者:  Luo, Chuan;  Zheng, Xiaolong;  Zeng, Daniel Dajun;  Leischow, Scott
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Tobacco Control  Electronic Cigarettes  Social Media  Youtube  
Measuring the Visual Complexities of Web Pages 期刊论文
ACM TRANSACTIONS ON THE WEB, 2013, 卷号: 7, 期号: 1, 页码: 33
作者:  Wu, Ou;  Hu, Weiming;  Shi, Lei;  Ou Wu
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Algorithms  Performance  Visual Complexity (Viscom)  Quantification  Web Mining  Feature  Learning