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MTC: A Fast and Robust Graph-Based Transductive Learning Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
作者:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guang-Gang;  Liu, Cheng-Lin
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Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 11, 页码: 3561 - 3573
作者:  Cui, Hainan;  Shen, Shuhan;  Gao, Wei;  Hu, Zhanyi
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Structure From Motion  Auxiliary Imaging Information  Potential Inlier  3d Reconstruction  
Optimal distributed synchronization control for continuous-time heterogeneous multi-agent differential graphical games 期刊论文
INFORMATION SCIENCES, 2015, 卷号: 317, 期号: x, 页码: 96-113
作者:  Wei, Qinglai;  Liu, Derong;  Lewis, Frank L.;  Derong Liu
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Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Heterogeneous Multi-agents  Graphical Games  Policy Iteration  
PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 7, 页码: 2182-2196
作者:  Xu, Shibiao;  Zhang, Feihu;  He, Xiaofei;  Shen, Xukun;  Zhang, Xiaopeng
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Object Segmentation  Stereo Matching  Potts Model  Patchmatch  Multiple View Reconstruction  
Activity Sensor: Check-In Usage Mining for Local Recommendation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2015, 卷号: 6, 期号: 3
作者:  Sang, Jitao;  Mei, Tao;  Xu, Changsheng
Adobe PDF(1283Kb)  |  收藏  |  浏览/下载:290/72  |  提交时间:2015/09/17
Design  Algorithms  Performance  Location-based Service  Local Recommendation  Check-in  Usage Mining