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CASIA OpenIR

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Graph meets probabilistic generation model: A new perspective for graph disentanglement 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:  Peng, Zouzhang;  Zheng, Shuai;  Zhu, Zhenfeng;  Liu, Zhizhe;  Cheng, Jian;  Dong, Honghui;  Zhao, Yao
收藏  |  浏览/下载：67/0  |  提交时间：2024/02/22
Graph representation learning  Graph disentanglement  Probabilistic generation model  
Deep representation learning for domain generalization with information bottleneck principle 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 12
作者:  Zhang, Jiao;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：119/0  |  提交时间：2023/11/17
Domain generalization  Information bottleneck  Representation learning  
Towards prior gap and representation gap for long-tailed recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Zhang, Ming-Liang;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：281/0  |  提交时间：2022/11/14
Long-tailed learning  Prior gap  Representation gap  Image recognition  
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：498/214  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
Discriminatively boosted image clustering with fully convolutional auto-encoders 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 83, 页码: 161-173
作者:  Li, Fengfu;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：228/0  |  提交时间：2018/10/10
Image Clustering  Fully Convolutional Auto-encoder  Representation Learning  Discriminatively Boosted Clustering