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Event Co-reference Resolution via a Multi-loss Neural Network without Using Argument Information 期刊论文
Science China Information Sciences, 2019, 卷号: 62, 期号: 11, 页码: 212101:1–212101:9
作者:  Xinyu Zuo;  Yubo Chen;  Kang Liu;  Jun Zhao
Adobe PDF(360Kb)  |  收藏  |  浏览/下载：195/67  |  提交时间：2021/06/18
Event co-reference resolution  Neural network  Information extraction  Multi-loss function  Event extraction  
Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish-Eye Camera 期刊论文
International Journal of Control, Automation and Systems, 2019, 卷号: 17, 期号: 9, 页码: 2297-2309
作者:  Zou W(邹伟);  Kang ZB(亢兆兵);  Ma HX(马洪轩)
浏览  |  Adobe PDF(1258Kb)  |  收藏  |  浏览/下载：205/70  |  提交时间：2020/10/22
Adaptive control  Pose estimation  Visual trajectory tracking  Wheeled mobile robots.  
Adversarial image generation by combining content and style 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 14, 页码: 2716-2723
作者:  Liu, Songyan;  Zhao, Chaoyang;  Gao, Yunze;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(4319Kb)  |  收藏  |  浏览/下载：451/118  |  提交时间：2020/03/30
image recognition  feature extraction  learning (artificial intelligence)  image texture  adversarial image generation  unique style  reference images  style feature extraction module  style specific image generation model  double-cycle training strategy  natural-content pairs  input natural images  style exchange  style-exchanged images  licence-plate image  handbags images  
Quintic Pythagorean-Hodograph Curves Based Trajectory Planning for Delta Robot with a Prescribed Geometrical Constraint 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 21, 页码: 14
作者:  Liang, Xu;  Su, Tingting
Adobe PDF(1300Kb)  |  收藏  |  浏览/下载：281/59  |  提交时间：2020/03/30
delta robot  trajectory planning  geometrical constraint  PH curves  
An Enhanced Feature Pyramid Object Detection Network for Autonomous Driving 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 15
作者:  Wu, Yutian;  Tang, Shuming;  Zhang, Shuwei;  Ogai, Harutoshi
浏览  |  Adobe PDF(6078Kb)  |  收藏  |  浏览/下载：349/78  |  提交时间：2020/03/30
object detection  feature pyramid network  feature recalibration  context embedding  autonomous driving systems  augmented reality  
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：332/46  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
ScaleNet_ a convolutional network to extract multi-scale and fine-grained visual features 期刊论文
IEEE Access, 2019, 期号: 7, 页码: 147560-147570
作者:  Zhang Jinpeng;  Zhang Jinming;  Hu Guyue;  Cheng Yang;  Yu Shan
浏览  |  Adobe PDF(1764Kb)  |  收藏  |  浏览/下载：364/102  |  提交时间：2019/12/31
Image Classification  Convolutional Neural Networks  Resnet  Deconvolution  
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2310-2323
作者:  Du, Changde;  Du, Changying;  Huang, Lijie;  He, Huiguang
Adobe PDF(3773Kb)  |  收藏  |  浏览/下载：377/49  |  提交时间：2019/12/16
Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
Rectified Exponential Units for Convolutional Neural Networks 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 101633-101640
作者:  Ying, Yao;  Su, Jianlin;  Shan, Peng;  Miao, Ligang;  Wang, Xiaolian;  Peng, Silong
Adobe PDF(5799Kb)  |  收藏  |  浏览/下载：312/44  |  提交时间：2019/12/16
Activation function  convolutional neural network  rectified exponential unit  parametric rectified exponential unit  
High-dimensional multimedia classification using deep CNN and extended residual units 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 17, 页码: 23867-23882
作者:  Shamsolmoali, Pourya;  Jain, Deepak Kumar;  Zareapoor, Masoumeh;  Yang, Jie;  Alam, M. Afshar
收藏  |  浏览/下载：215/0  |  提交时间：2019/12/16
High dimensional  Multimedia data classification  Deep learning  Feature extraction  Residual network