CASIA OpenIR

浏览/检索结果: 共16条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Personalized gait trajectory generation based on anthropometric features using Random Forest 期刊论文
Journal of Ambient Intelligence and Humanized Computing, 2019, 期号: 1, 页码: 1-12
作者:  Shixin Ren;  Weiqun Wang;  Zeng-Guang Hou;  Badong Chen;  Xu Liang;  Liang Peng
Adobe PDF(2042Kb)  |  收藏  |  浏览/下载:165/50  |  提交时间:2021/07/01
Personalized gait  Gait generation  Random Forest  Anthropometric features  Rehabilitation training  
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:166/55  |  提交时间:2021/06/18
Event co-reference resolution  Neural network  Information extraction  Multi-loss function  Event extraction  
Analyzing the dynamic sectoral influence in Chinese and American stock markets 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 536, 页码: 15
作者:  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Danjun
Adobe PDF(2694Kb)  |  收藏  |  浏览/下载:302/29  |  提交时间:2020/03/30
Sectoral influence  Multi-time scales  Causal network  Granger causality  Empirical mode decomposition  
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:301/42  |  提交时间:2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
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:202/33  |  提交时间:2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
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:344/42  |  提交时间:2019/12/16
Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 2019, 期号: 7, 页码: 88903-88916
作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(31078Kb)  |  收藏  |  浏览/下载:323/47  |  提交时间:2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
Mixture probabilistic model for precipitation ensemble forecasting 期刊论文
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2019, 卷号: 145, 期号: 725, 页码: 19
作者:  Wu, Yajing;  Yang, Xuebing;  Zhang, Wensheng;  Kuang, Qiuming
Adobe PDF(4238Kb)  |  收藏  |  浏览/下载:278/33  |  提交时间:2019/12/16
ensemble forecast  post-processing  precipitation  probabilistic forecast  
Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 7, 页码: 112921-112930
作者:  Pan, Cheng;  Tan, Jie
浏览  |  Adobe PDF(5875Kb)  |  收藏  |  浏览/下载:299/65  |  提交时间:2019/12/16
Cluster analysis  ensemble model  ridge regression  solar generation forecasting  
Dual L-1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 期号: 128, 页码: 33
作者:  Hu, Weiming;  Shi, Xinchu;  Zhou, Zongwei;  Xing, Junliang;  Ling, Haibin;  Maybank, Stephen
Adobe PDF(6300Kb)  |  收藏  |  浏览/下载:666/222  |  提交时间:2019/12/16
Multi-dimensional assignment  Context  hyper-context aware tensor power iteration  Multi-object tracking  Multi-graph matching