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CASIA OpenIR
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Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载：208/70  |  提交时间：2023/07/06
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：501/215  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 2, 页码: 209-226
作者:  Wu, Zifeng;  Huang, Yongzhen;  Wang, Liang;  Wang, Xiaogang;  Tan, Tieniu
浏览  |  Adobe PDF(2447Kb)  |  收藏  |  浏览/下载：1144/611  |  提交时间：2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
Adaptive Multi-view Clustering via Cross Trace Lasso 会议论文
Proc. Asian Conference on Pattern Recognition, Kuala Lumpur, Malaysia, 2015
作者:  Dong Wang;  Ran He(赫然);  Liang Wang;  Tieniu Tan
浏览  |  Adobe PDF(248Kb)  |  收藏  |  浏览/下载：284/104  |  提交时间：2017/02/25
Multi-view Clustering via Structured Low-Rank Representation 会议论文
Proc. ACM International Conference on Information and Knowledge Management, Melbourne, Australia, 2015
作者:  Dong Wang;  Qiyue Yin;  Ran He(赫然);  Liang Wang;  Tieniu Tan
浏览  |  Adobe PDF(218Kb)  |  收藏  |  浏览/下载：321/127  |  提交时间：2017/02/25
Joint Feature Selection and Subspace Learning for Cross-modal Retrieval 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 卷号: 38, 期号: 10, 页码: 2010-2023
作者:  Kaiye Wang;  Ran He;  Liang Wang;  Wei Wang;  Tieniu Tan
浏览  |  Adobe PDF(2865Kb)  |  收藏  |  浏览/下载：881/365  |  提交时间：2016/04/02
Coupled Feature Selection  Cross-modal Retrieval  Half-quadratic Minimization