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Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2016, 卷号: 27, 期号: 12, 页码: 2472-2485
作者:  Deng, Cheng;  Xu, Jie;  Zhang, Kaibing;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong;  Deng, C (reprint author), Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China.
Adobe PDF(5982Kb)  |  收藏  |  浏览/下载：250/1  |  提交时间：2016/12/30
NoNlocal (Nl) Self-similarity  Structured Output  Super-resolution (Sr)  Support Vector Regression (Svr)  
Speed up deep neural network based pedestrian detection by sharing features across multi-scale models 期刊论文
NEUROCOMPUTING, 2016, 卷号: 185, 页码: 163-170
作者:  Jiang, Xiaoheng;  Pang, Yanwei;  Li, Xuelong;  Pan, Jing
Adobe PDF(867Kb)  |  收藏  |  浏览/下载：166/1  |  提交时间：2016/08/19
Pedestrian Detection  Deep Neural Networks  Convolutional Neural Networks  Share Features  
Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 1, 页码: 158-170
作者:  Liu, Li;  Shao, Ling;  Li, Xuelong;  Lu, Ke;  Shao, L
Adobe PDF(2314Kb)  |  收藏  |  浏览/下载：208/2  |  提交时间：2016/01/22
Action Recognition  Feature Extraction  Feature Learning  Genetic Programming (Gp)  Spatio-temporal Descriptors