CASIA OpenIR

浏览/检索结果: 共57条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Occlusion Detection via Structured Sparse Learning for Robust Object Tracking 期刊论文
Advances in Computer Vision and Pattern Recognition, 2014, 期号: 71, 页码: 93-112
作者:  Zhang, Tianzhu;  Ghanem, Bernard;  Xu, Changsheng;  Ahuja, Narendra
浏览  |  Adobe PDF(903Kb)  |  收藏  |  浏览/下载:277/85  |  提交时间:2018/02/07
Tracking  
A data-based online reinforcement learning algorithm with high-efficient exploration 会议论文
, Orlando, FL, USA, Dec, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
浏览  |  Adobe PDF(407Kb)  |  收藏  |  浏览/下载:219/82  |  提交时间:2017/09/13
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, 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, 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, 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 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, 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:277/35  |  提交时间:2017/09/13
License Plate Recognition Using MSER and HOG Based on ELM 会议论文
, Qingdao, 2014
作者:  Gou C(苟超);  Wang KF(王坤峰);  Zhongdong Yu;  Haitao Xie
浏览  |  Adobe PDF(1091Kb)  |  收藏  |  浏览/下载:375/116  |  提交时间:2017/06/13
ITS With Complete Traffic Control 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2014, 卷号: 15, 期号: 2, 页码: 457-462
作者:  Fei-Yue Wang
浏览  |  Adobe PDF(76Kb)  |  收藏  |  浏览/下载:188/98  |  提交时间:2017/03/07
Traffic Control  Its  
CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition 期刊论文
IEEE Transactions on Image Processing, 2014, 卷号: 23, 期号: 7, 页码: 3152-3165
作者:  Jun, Wan;  Wan J(万军)
浏览  |  Adobe PDF(5217Kb)  |  收藏  |  浏览/下载:266/72  |  提交时间:2016/10/26
Intra-class Mutual Information  Inter-class Mutual Information  Class-specific Dictionary  Action Recognition  
Image denoising via nonlocally sparse coding and tensor decomposition 会议论文
ACM International Conference Proceeding Series, 2014:283-288, Xiamen, China, July 10, 2014 - July 12, 2014
作者:  Wenrui Hu;  Yuan Xie;  Wensheng Zhang;  Limin Zhu;  Yanyun Qu;  Yuanhua Tan
浏览  |  Adobe PDF(601Kb)  |  收藏  |  浏览/下载:352/133  |  提交时间:2016/10/22
Collaborative Filtering  Sparse Coding  Ttensor Decomposition  Bregman Iteration  
Quality-based Learning for Web Data Classification 会议论文
AAAI Conference on Artificial Intelligence, 美国, 2014
作者:  Wu, Ou;  Hu, Ruiguang;  Mao, Xue;  Hu, Weiming
浏览  |  Adobe PDF(1352Kb)  |  收藏  |  浏览/下载:281/83  |  提交时间:2016/09/18
Web Data Classification  
An Asymmetric Stagewise Least Square Loss Function for Imbalanced Classification 会议论文
2014 International Joint Conference on Neural Networks (IJCNN), 北京, 2014-7-6至2014-7-11
作者:  Xu, Guibiao(徐贵标);  Hu, Bao-Gang(胡包钢);  Principe, Jose
浏览  |  Adobe PDF(768Kb)  |  收藏  |  浏览/下载:307/92  |  提交时间:2016/06/20
Model-free adaptive dynamic programming for optimal control of discrete-time affine nonlinear system 会议论文
Proceedings of International Federation of Automatic Control 2014, South Africa, 2014-08
作者:  Xia ZP(夏中谱);  Dongbin Zhao
浏览  |  Adobe PDF(156Kb)  |  收藏  |  浏览/下载:318/91  |  提交时间:2016/06/16
Model-free Adaptive Dynamic Programming  Reinforcement Learning  Policy Iteration  Multilayer Perceptron Neural Network.