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Supervised deep hashing with a joint deep network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载：190/3  |  提交时间：2020/07/20
Image retrieval  Supervised hashing  CNN  RNN  Deep learning  
A Survey of Human Action Analysis in HRI Applications 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 7, 页码: 2114-2128
作者:  Ji, Yanli;  Yang, Yang;  Shen, Fumin;  Shen, Heng Tao;  Li, Xuelong
Adobe PDF(2113Kb)  |  收藏  |  浏览/下载：187/4  |  提交时间：2020/07/20
Human-robot interaction  action recognition  action prediction  action imitation  datasets  robots  
OpenMRE: A Numerical Platform for MRE Study 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 3, 页码: 1111-1121
作者:  Li, Bing Nan;  Shan, Xiang;  Xiang, Kui;  Kobayashi, Etsuko;  Wang, Meng;  Li, Xuelong
Adobe PDF(2350Kb)  |  收藏  |  浏览/下载：194/0  |  提交时间：2020/04/13
Elasticity  Propagation  Biological tissues  Numerical models  Magnetic resonance imaging  Inverse problems  Elastography  forward problem  inverse problem  magnetic resonance elastography (MRE)  numerical simulation  
Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations 期刊论文
PHYSICS OF LIFE REVIEWS, 2019, 卷号: 29, 页码: 1-26
作者:  Gao, Chao;  Liu, Chen;  Schenz, Daniel;  Li, Xuelong;  Zhang, Zili;  Jusup, Marko;  Wang, Zhen;  Beekman, Madeleine;  Nakagaki, Toshiyuki
Adobe PDF(4064Kb)  |  收藏  |  浏览/下载：167/0  |  提交时间：2019/09/24
Modelling and computation  Bio-inspired computing  Physarum polycephalum  Intelligent behaviour  Complex problem solving  
Shape-Preserving Object Depth Control for Stereoscopic Images 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 卷号: 28, 期号: 12, 页码: 3333-3344
作者:  Lei, Jianjun;  Peng, Bo;  Zhang, Changqing;  Mei, Xuguang;  Cao, Xiaochun;  Fan, Xiaoting;  Li, Xuelong
Adobe PDF(6135Kb)  |  收藏  |  浏览/下载：185/0  |  提交时间：2018/12/28
Depth Control  Depth Mapping Model  Shape Preserving  Stereoscopic Image  Warping Technology  3-d Display  
Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 5, 页码: 2146-2154
作者:  Li, Zhifeng;  Gong, Dihong;  Li, Xuelong;  Tao, Dacheng
Adobe PDF(1960Kb)  |  收藏  |  浏览/下载：209/1  |  提交时间：2016/08/18
Face Recognition  Aging Faces  Feature Descriptor  
Measuring Collectiveness via Refined Topological Similarity 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2016, 卷号: 12, 期号: 2
作者:  Li, Xuelong;  Chen, Mulin;  Wang, Qi
Adobe PDF(1874Kb)  |  收藏  |  浏览/下载：223/6  |  提交时间：2016/08/19
Multimedia  Crowd Analysis  Collectiveness  Manifold  Feature Extraction  
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues 期刊论文
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 卷号: 18, 期号: 3, 页码: 2282-2308
作者:  Peng, Mugen;  Sun, Yaohua;  Li, Xuelong;  Mao, Zhendong;  Wang, Chonggang
Adobe PDF(4840Kb)  |  收藏  |  浏览/下载：233/2  |  提交时间：2016/10/13
Cloud Radio Access Network (C-ran)  Fronthaul Compression  Large-scale Collaborative Processing  Channel Estimation  Resource Allocation  
Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems 期刊论文
IEEE ACCESS, 2016, 卷号: 4, 页码: 3300-3309
作者:  Xiang, Kui;  Li, Bing Nan;  Zhang, Liyan;  Pang, Muye;  Wang, Meng;  Li, Xuelong;  Li, Bing Nan (bingoon@ieee.org)
Adobe PDF(5356Kb)  |  收藏  |  浏览/下载：193/2  |  提交时间：2016/09/26
Neural Networks  Echo State Networks  Sparse Regularization  Predictive Control  
Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 12, 页码: 2693-2706
作者:  Feng, Yinfu;  Ji, Mingming;  Xiao, Jun;  Yang, Xiaosong;  Zhang, Jian J.;  Zhuang, Yueting;  Li, Xuelong
Adobe PDF(2074Kb)  |  收藏  |  浏览/下载：207/0  |  提交时间：2015/12/25
Human Motion Denoising  Microsoft Kinect  l(2  Motion Capture Data  p)-norm  Robust Dictionary Learning  Robust Structured Sparse Coding