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Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 2, 页码: 332-351
作者:  Sun, Yunlian;  Zhang, Man;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(2995Kb)  |  收藏  |  浏览/下载：821/297  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
Deep Reinforcement Learning With Visual Attention for Vehicle Classification 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2017, 卷号: 9, 期号: 4, 页码: 356-367
作者:  Zhao, Dongbin;  Chen, Yaran;  Lv, Le
浏览  |  Adobe PDF(3192Kb)  |  收藏  |  浏览/下载：1027/537  |  提交时间：2017/05/08
Convolutional Neural Network (Cnn)  Reinforcement Learning  Vehicle Classification  Visual Attention  
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 10, 页码: 2335-2347
作者:  Qiao, Hong;  Li, Yinlin;  Li, Fengfu;  Xi, Xuanyang;  Wu, Wei
浏览  |  Adobe PDF(2781Kb)  |  收藏  |  浏览/下载：440/146  |  提交时间：2016/06/21
Biologically Inspired  Hierarchical Model  Key Components Learning  Semantic Description  
A multi-level text representation model within background knowledge based on human cognitive process for big data analysis 期刊论文
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2016, 卷号: 19, 期号: 3, 页码: 1475-1487
作者:  Wei, Xiao;  Zhang, Jun;  Zeng, Daniel Dajun;  Li, Qing
浏览  |  Adobe PDF(4930Kb)  |  收藏  |  浏览/下载：385/150  |  提交时间：2016/12/26
Text Comprehension  Background Knowledge  Text Representation  Human Cognitive Process  Surface Code  Text Base  Situational Model  Semantics  
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：357/79  |  提交时间：2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization  
Analyzing Positioning Strategies in Sponsored Search Auctions Under CTR-Based Quality Scoring 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 4, 页码: 688-701
作者:  Yuan, Yong;  Zeng, Daniel;  Zhao, Huimin;  Li, Linjing
浏览  |  Adobe PDF(1156Kb)  |  收藏  |  浏览/下载：363/112  |  提交时间：2015/09/21
Terms-click-through Rate (Ctr)  Optimal Control  Polarization  Quality Score (Qs)  Sponsored Search  
Growing Spatially Embedded Social Networks for Activity-Travel Analysis Based on Artificial Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 5, 页码: 2111-2120
作者:  Chen, Songhang;  Zhu, Fenghua;  Cao, Jianping
浏览  |  Adobe PDF(1323Kb)  |  收藏  |  浏览/下载：383/171  |  提交时间：2015/08/12
Activity-based Traffic Simulation  Agent  Artificial Transportation Systems (Ats)  Reinforcement Learning  Spatially Embedded Social Networks  
Artificial Societies, Computational Experiments, and Parallel Systems: An Investigation on a Computational Theory for Complex Socioeconomic Systems 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2013, 卷号: 6, 期号: 2, 页码: 177-185
作者:  Wen, Ding;  Yuan, Yong;  Li, Xia-Rong
浏览  |  Adobe PDF(430Kb)  |  收藏  |  浏览/下载：240/70  |  提交时间：2015/08/12
Artificial Societies  Computational Experiments  Parallel Systems  Socioeconomic Systems  
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
浏览  |  Adobe PDF(1054Kb)  |  收藏  |  浏览/下载：405/133  |  提交时间：2015/08/12
Algorithms  Performance  Visual Complexity (Viscom)  Quantification  Web Mining  Feature  Learning  
Fine-Grained Opinion Mining by Integrating Multiple Review Sources 期刊论文
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2010, 卷号: 61, 期号: 11, 页码: 2288-2299
作者:  Miao, Qingliang;  Li, Qiudan;  Zeng, Daniel;  Qingliang miao
浏览  |  Adobe PDF(361Kb)  |  收藏  |  浏览/下载：297/121  |  提交时间：2015/08/12
Opinion Mining