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Online reinforcement learning for continuous-state systems 专著章节/文集论文
出自: Frontiers of Intelligent Control and Information Processing, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, 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Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore:World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World 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Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载：268/30  |  提交时间：2017/09/13
Multi-Modal Supervised Latent Dirichlet Allocation for Event Classification in Social Media 会议论文
, Xiamen, China, July 10-12, 2014
作者:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu
浏览  |  Adobe PDF(1198Kb)  |  收藏  |  浏览/下载：261/93  |  提交时间：2017/06/14
Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification 会议论文
, Stockholm, Sweden, August 24-28, 2014
作者:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu
浏览  |  Adobe PDF(1087Kb)  |  收藏  |  浏览/下载：294/109  |  提交时间：2017/06/14
Road Extraction Via Adpative Graph Cuts with Multiple Features 会议论文
, 法国巴黎, 2014年10月
作者:  Cheng GL(程光亮);  Wang Y(王颖);  Zhu FY(朱飞云);  Pan CH(潘春洪)
浏览  |  Adobe PDF(2360Kb)  |  收藏  |  浏览/下载：370/90  |  提交时间：2017/05/09
Road Extraction  Adaptive Graph Cuts  Multiple  Spatially Contextual Feature  
Optimal State Estimation for Discrete-time Systems with Delayed Measurements 会议论文
, Nanjing, China, July 28-30, 2014
作者:  Sun Y(孙尧)
浏览  |  Adobe PDF(120Kb)  |  收藏  |  浏览/下载：306/117  |  提交时间：2017/05/08
Remote sensing image fusion through kernel estimation based on energy minimization 会议论文
IEEE 17th International Conference on Intelligent Transportation System, Qingdao, October 8-11, 2014
作者:  Qiwei Xie;  Zheng Liu;  Qian Long;  Seiichi Mita;  An Jiang
浏览  |  Adobe PDF(2832Kb)  |  收藏  |  浏览/下载：889/341  |  提交时间：2016/10/26
Image Fusion  
Top-Down Visual Saliency Detection in Optical Satellite Images Based on Local Adaptive Regression Kernel 期刊论文
Journal of Multimedia, 2014, 卷号: 9, 期号: 1, 页码: 173-180
作者:  Cui, Xiaoguang;  Tian, Yuan
浏览  |  Adobe PDF(3377Kb)  |  收藏  |  浏览/下载：332/114  |  提交时间：2016/10/26
Visual Saliency  Top-down  Kernel Regression  Rotation Invariance  Bounded Partial Correlation  
Real-time Event Detection based on Geo Extraction and Temporal Analysis 会议论文
In Proceedings of the 10th International Conference on Advanced Data Mining and Applications (ADMA), Guilin, China, 2014-12
作者:  Xiao Feng;  Shuwu Zhang;  Wei Liang;  Zhe Tu
浏览  |  Adobe PDF(340Kb)  |  收藏  |  浏览/下载：455/150  |  提交时间：2016/05/04
Event Detection  Microblogs  Geo-information Extraction  Temporal Analysis  
基于局部模式分析的特定目标检测方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  申意萍
Adobe PDF(7872Kb)  |  收藏  |  浏览/下载：290/0  |  提交时间：2015/09/02
特定目标检测  感兴趣区域  视觉显著性  注意机制  目标码  局部模式  Specific Target Detection  Region Of Interest  Visual Saliency  Visual Attention  Object Code  Local Patterns  
功能磁共振成像中的机器学习方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  朱茂虎
Adobe PDF(2274Kb)  |  收藏  |  浏览/下载：810/0  |  提交时间：2015/09/02
特征选择  模式分类  静息态  功能连接  脑网络  Feature Selection  Pattern Classification  Resing-state  Functional Connectivity  Brain Network