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Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification 期刊论文
NEUROCOMPUTING, 2016, 卷号: 174, 期号: 2016, 页码: 806-814
作者:  Wang, Peng;  Xu, Bo;  Xu, Jiaming;  Tian, Guanhua;  Liu, Cheng-Lin;  Hao, Hongwei
Adobe PDF(1127Kb)  |  收藏  |  浏览/下载：327/106  |  提交时间：2020/10/27
Short Text  Classification  Clustering  Convolutional Neural Network  Semantic Units  Word Embeddings  
Towards patients’ motion intention recognition: Dynamics modeling and identification of iLeg - an LLRR under motion constraints 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 卷号: 46, 期号: 7, 页码: 980-992
作者:  weiqun wang;  Zeng-Guang Hou;  Long Cheng;  Lina Tong;  Liang Peng;  Long Peng;  Min Tan
Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：126/3  |  提交时间：2019/11/07
Friction Model  Lower Limb Rehabilitation Robot (Llrr)  Motion Intention Recognition  Optimization Of Exciting Trajectories  Recursive Optimization  
Hierarchical Aesthetic Quality Assessment Using Deep Convolutional Neural Networks 期刊论文
Signal Processing: Image Communication, 2016, 期号: 47, 页码: 500-510
作者:  Kao, Yueying;  Huang, Kaiqi;  Maybank, Steve
Adobe PDF(4734Kb)  |  收藏  |  浏览/下载：358/140  |  提交时间：2017/06/06
Aesthetic Image Analysis  Convolutional Neural Networks  Scene  Object  Texture  
Interactive Stereo Image Segmentation With RGB-D Hybrid Constraints 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2016, 卷号: 23, 期号: 11, 页码: 1533-1537
作者:  Ma, Wei;  Qin, Yue;  Yang, Luwei;  Xu, Shibiao;  Zhang, Xiaopeng
Adobe PDF(453Kb)  |  收藏  |  浏览/下载：352/88  |  提交时间：2017/05/05
Disparity  Graph Cut  Interactive Segmentation  Prior Model  Similarity  Stereo Image Segmentation  
Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 卷号: 35, 期号: 12, 页码: 2546-2557
作者:  Liu, Hongbo;  Wang, Kun;  Peng, Dong;  Li, Hui;  Zhu, Yukun;  Zhang, Shuang;  Liu, Muhan;  Tian, Jie
Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：341/78  |  提交时间：2017/05/05
Photoacoustic Tomography  Model Matrix  Acoustic Inversion  Curve-driven  Interpolated-matrix-model Inversion  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：400/120  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：352/135  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Energy consumption prediction of office buildings based on echo state networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 216, 期号: n/a, 页码: 478-488
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(1405Kb)  |  收藏  |  浏览/下载：440/186  |  提交时间：2017/02/14
Energy Consumption  Time-series Prediction  Office Buildings  Echo State Networks  Reservoir Topologies  
Dynamic Parallel and Distributed Graph Cuts 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 12, 页码: 5511-5525
作者:  Yu, Miao;  Shen, Shuhan;  Hu, Zhanyi
浏览  |  Adobe PDF(2857Kb)  |  收藏  |  浏览/下载：317/93  |  提交时间：2017/02/14
Graph Cuts  Parallel Computation  Convergence  Markov Random Field  
Low-Discrepancy Blue Noise Sampling 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2016, 卷号: 35, 期号: 6, 页码: 247:1--247:13
作者:  Ahmed, Abdalla G. M.;  Perrier, Helene;  Coeurjolly, David;  Ostromoukhov, Victor;  Guo, Jianwei;  Yan, Dong-Ming;  Huang, Hui;  Deussen, Oliver
浏览  |  Adobe PDF(12493Kb)  |  收藏  |  浏览/下载：461/119  |  提交时间：2017/02/14
Blue Noise  Low Discrepancy  Sampling  Monte Carlo  Quasi-monte Carlo