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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：287/27  |  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：288/42  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
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：638/220  |  提交时间：2019/12/16
Multi-dimensional assignment  Context  hyper-context aware tensor power iteration  Multi-object tracking  Multi-graph matching  
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：265/30  |  提交时间：2019/12/16
ensemble forecast  post-processing  precipitation  probabilistic forecast  
Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
作者:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
浏览  |  Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：269/77  |  提交时间：2019/09/26
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：329/41  |  提交时间：2019/12/16
Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
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：157/50  |  提交时间：2021/07/01
Personalized gait  Gait generation  Random Forest  Anthropometric features  Rehabilitation training  
Scene text detection and recognition with advances in deep learning: a survey 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019, 卷号: 22, 期号: 2, 页码: 143-162
作者:  Liu, Xiyan;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：279/30  |  提交时间：2019/07/11
Natural image  Text detection  Text recognition  Survey  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：313/26  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 5, 页码: 4377-4390
作者:  Xing, Yang;  Lv, Chen;  Wang, Huaji;  Wang, Hong;  Ai, Yunfeng;  Cao, Dongpu;  Velenis, Efstathios;  Wang, Fei-Yue
收藏  |  浏览/下载：247/0  |  提交时间：2019/07/11
Intelligent vehicle  ADAS  lane change  driver intention  parallel driving