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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：283/27  |  提交时间：2020/03/30
Sectoral influence  Multi-time scales  Causal network  Granger causality  Empirical mode decomposition  
A novel Cerenkov luminescence tomography approach using multilayer fully connected neural network 期刊论文
Physics in Medicine & Biology, 2019, 卷号: 64, 期号: 2019, 页码: 245010
作者:  Zhang,Zeyu;  Cai,Meishan;  Gao,Yuan;  Shi,Xiaojing;  Zhang,Xiaojun;  Hu,Zhenhua;  Tian,Jie
Adobe PDF(3210Kb)  |  收藏  |  浏览/下载：369/72  |  提交时间：2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
Disentangled Representation Learning of Makeup Portraits in the Wild 期刊论文
International Journal of Computer Vision, 2019, 卷号: -, 期号: -, 页码: -
作者:  Li, Yi;  Huang, Huaibo;  Cao, Jie;  He, Ran;  Tan, Tieniu
浏览  |  Adobe PDF(24456Kb)  |  收藏  |  浏览/下载：283/64  |  提交时间：2020/06/10
Face verification  Makeup transfer  Disentangled feature  Correspondence field  
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：285/42  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
Face Detection With Different Scales Based on Faster R-CNN 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4017-4028
作者:  Wu, Wenqi;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(2762Kb)  |  收藏  |  浏览/下载：461/144  |  提交时间：2018/10/02
Deep convolutional neural network (DCNN)  deep learning  face detection  Faster R-CNN  
Nonlinear Asymmetric Multi-Valued Hashing 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 11, 页码: 2660-2676
作者:  Da, Cheng;  Meng, Gaofeng;  Xiang, Shiming;  Ding, Kun;  Xu, Shibiao;  Yang, Qing;  Pan, Chunhong
Adobe PDF(2583Kb)  |  收藏  |  浏览/下载：483/116  |  提交时间：2018/10/07
Asymmetric hashing  multi-valued embeddings  binary sparse representation  nonlinear transformation  
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：633/220  |  提交时间：2019/12/16
Multi-dimensional assignment  Context  hyper-context aware tensor power iteration  Multi-object tracking  Multi-graph matching  
Adaptive Feature Fusion via Graph Neural Network for Person Re-identification 会议论文
ACM Multimedia Conference (MM 19), Nice, France, October 21–25, 2019
作者:  Li, Yaoyu;  Yao, Hantao;  Duan, Lingyu;  Yao, Hanxing;  Xu, Changsheng
Adobe PDF(2961Kb)  |  收藏  |  浏览/下载：122/41  |  提交时间：2021/06/22
Person Re-identification  Feature Fusion  GNN  
Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks 期刊论文
IEEE SENSORS JOURNAL, IEEE SENSORS JOURNAL, IEEE SENSORS JOURNAL, 2019, 2019, 2019, 卷号: 19, 19, 19, 期号: 18, 页码: 8303-8316, 8303-8316, 8303-8316
作者:  Diao, Jin;  Zhao, Deng;  Wang, Junping;  Nguyen, Hien M.;  Tang, Jine;  Zhou, Zhangbing
Adobe PDF(2260Kb)  |  收藏  |  浏览/下载：310/38  |  提交时间：2019/12/16
Boundary detection  continuous objects  IoT sensing networks  energy efficiency  Boundary detection  continuous objects  IoT sensing networks  energy efficiency  Boundary detection  continuous objects  IoT sensing networks  energy efficiency  
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