CASIA OpenIR

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:
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions 期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhao, Kang;  Liu, Maggie Wenjing;  Zeng, Daniel Dajun
Adobe PDF(1329Kb)  |  收藏  |  浏览/下载:352/81  |  提交时间:2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载:356/48  |  提交时间:2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载:327/60  |  提交时间:2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Graph convolutional network with structure pooling and joint-wise channel attention for action recognition 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 103, 页码: 12
作者:  Chen, Yuxin;  Ma, Gaoqun;  Yuan, Chunfeng;  Li, Bing;  Zhang, Hui;  Wang, Fangshi;  Hu, Weiming
Adobe PDF(2455Kb)  |  收藏  |  浏览/下载:289/5  |  提交时间:2020/06/22
Graph convolutional network  Structure graph pooling  Joint-wise channel attention  
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
作者:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Adobe PDF(4458Kb)  |  收藏  |  浏览/下载:329/14  |  提交时间:2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion  
Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 卷号: 127, 期号: 8, 页码: 1063-1083
作者:  Shi, Xinchu;  Ling, Haibin;  Pang, Yu;  Hu, Weiming;  Chu, Peng;  Xing, Junliang
收藏  |  浏览/下载:313/0  |  提交时间:2019/12/16
Multi-target tracking  Multi-dimensional assignment  Rank-1 tensor approximation  Data association