CASIA OpenIR

浏览/检索结果: 共51条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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:240/66  |  提交时间:2016/10/26
Intra-class Mutual Information  Inter-class Mutual Information  Class-specific Dictionary  Action Recognition  
Application of a probabilistic model for analysing the abortion of seeds and pods in winter oilseed rape (Brassica napus) 期刊论文
Annals of Applied Biology, 2014, 卷号: 165, 期号: 3, 页码: 414-428
作者:  Wang, Xiujuan;  Mathieu, A.;  De Reffye, P.;  Cournède, P.H.;  Zhang, B.G.
浏览  |  Adobe PDF(779Kb)  |  收藏  |  浏览/下载:305/57  |  提交时间:2016/04/13
Parameter Estimation  Probabilistic Model  Seed And Pod Production  Winter Oilseed Rape  
L2 disturbance attenuation for highly dissipative nonlinear spatially distributed processes via HJI approach 期刊论文
Journal of Process Control, 2014, 卷号: 24, 期号: 5, 页码: 550-567
作者:  Wu, Huai-Ning;  Luo, Biao
浏览  |  Adobe PDF(1945Kb)  |  收藏  |  浏览/下载:236/74  |  提交时间:2016/04/08
Highly Dissipative Partial Differential Equations (Pdes)  
A total variation based nonrigid image registration by combining parametric and non-parametric transformation models 期刊论文
NEUROCOMPUTING, 2014, 卷号: 144, 页码: 222-237
作者:  Hu, Wenrui;  Xie, Yuan;  Li, Lin;  Zhang, Wensheng
Adobe PDF(20168Kb)  |  收藏  |  浏览/下载:331/75  |  提交时间:2015/09/18
Nonrigid Registration  Free-form Deformation  Non-parametric Transformation  Total Variation  Split Bregman Iteration  
Single image super-resolution using combined total variation regularization by split Bregman Iteration 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 页码: 551-560
作者:  Li, Lin;  Xie, Yuan;  Hu, Wenrui;  Zhang, Wensheng
浏览  |  Adobe PDF(12862Kb)  |  收藏  |  浏览/下载:291/81  |  提交时间:2015/09/18
Super-resolution  Total Variation  Steering Kernel Regression  Split Bregman Iteration  Local Structural Regularity  Non-local Self-similarity  
Virtual city: An individual-based digital environment for human mobility and interactive behavior 期刊论文
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2014, 卷号: 90, 期号: 8, 页码: 917-935
作者:  Ge, Yuanzheng;  Meng, Rongqing;  Cao, Zhidong;  Qiu, Xiaogang;  Huang, Kedi
收藏  |  浏览/下载:185/0  |  提交时间:2015/09/18
Individual-based Modeling  Virtual City  Synthetic Population  Communication Behavior  Multilayer Social Networks  
"Wow! You Are So Beautiful Today!" 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2014, 卷号: 11, 期号: 1, 页码: 1-22
作者:  Liu, Luoqi;  Xing, Junliang;  Liu, Si;  Xu, Hui;  Zhou, Xi;  Yan, Shuicheng;  Junliang Xing
浏览  |  Adobe PDF(1431Kb)  |  收藏  |  浏览/下载:658/235  |  提交时间:2015/09/18
Algorithms  Experimentation  Performance  Beauty Recommendation  Beauty Synthesis  Multiple Tree-structured Super-graphs Model  
Recent advances in bioluminescence tomography: methodology and system as well as application 期刊论文
LASER & PHOTONICS REVIEWS, 2014, 卷号: 8, 期号: 1, 页码: 94-114
作者:  Qin, Chenghu;  Feng, Jinchao;  Zhu, Shouping;  Ma, Xibo;  Zhong, Jianghong;  Wu, Ping;  Jin, Zhengyu;  Tian, Jie
浏览  |  Adobe PDF(4217Kb)  |  收藏  |  浏览/下载:379/88  |  提交时间:2015/08/12
Bioluminescence Tomography  Biophotonics  Optical Molecular Imaging  Inverse Source Reconstruction  Optical Imaging Instrument  Multimodality Fusion  
Probability method for Cerenkov luminescence tomography based on conformance error minimization 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2014, 卷号: 5, 期号: 7, 页码: 2091-2112
作者:  Ding, Xintao;  Wang, Kun;  Jie, Biao;  Luo, Yonglong;  Hu, Zhenhua;  Tian, Jie
浏览  |  Adobe PDF(595Kb)  |  收藏  |  浏览/下载:325/80  |  提交时间:2015/08/12
-  
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 卷号: 44, 期号: 3, 页码: 353-362
作者:  Alippi, Cesare;  Liu, Derong;  Zhao, Dongbin;  Bu, Li
Adobe PDF(444Kb)  |  收藏  |  浏览/下载:207/53  |  提交时间:2015/08/12
Active Classifiers  Change Detection Tests (Cdts)  Intelligent Sensing  K-nearest Neighbor  Support Vector Machine (Svm) Classifiers