中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共6条，第1-6条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction 会议论文
, Auckland, New Zealand, 2019-10-27
作者:  Zhishuai Li;  Gang Xiong;  Yuanyuan Chen;  Yisheng Lv;  Bin Hu;  Fenghua Zhu;  Fei-Yue Wang
Adobe PDF(305Kb)  |  收藏  |  浏览/下载：322/71  |  提交时间：2020/10/15
Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 184581-184598
作者:  Liu, Yating;  Wang, Kunfeng;  Li, Xuesong;  Bai, Tianxiang;  Wang, Fei-Yue
Adobe PDF(4276Kb)  |  收藏  |  浏览/下载：226/36  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Learning from adversarial medical images for X-ray breast mass segmentation 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 180, 期号: 2019, 页码: 13
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Fei-Yue;  He, Zilong;  Chen, Weiguo
Adobe PDF(4491Kb)  |  收藏  |  浏览/下载：379/49  |  提交时间：2019/12/16
Medical image synthesis  Generative adversarial network  X-ray breast mass  Lesion segmentation  
PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturing 会议论文
, Vancouver, BC, Canada, August 22-26, 2019
作者:  Shen, Zhen;  Shang, Xiuqin;  Li, Yuqing;  Bao, Yin;  Zhang, Xipeng;  Dong, Xisong;  Wan, Li;  Xiong, Gang;  Wang, Fei-Yue
浏览  |  Adobe PDF(4106Kb)  |  收藏  |  浏览/下载：305/51  |  提交时间：2019/10/10
A Learning-Based Framework for Error Compensation in 3-D Printing 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen Z(沈震);  Shang XQ(商秀芹);  Zhao MH(赵美华);  Xiong G(熊刚);  Wang FY(王飞跃)
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：375/94  |  提交时间：2019/09/25
3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：374/162  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network