CASIA OpenIR

浏览/检索结果: 共18条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Correntropy-Induced Wasserstein GCN: Learning Graph Embedding via Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 页码: 3980-3993
作者:  Wei Wang;  Gaowei Zhang;  Hongyong Han;  Chi Zhang
Adobe PDF(8686Kb)  |  收藏  |  浏览/下载:21/8  |  提交时间:2024/06/27
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
作者:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
Adobe PDF(2262Kb)  |  收藏  |  浏览/下载:54/16  |  提交时间:2024/04/23
Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
Adversarial learning domain-invariant conditional features for robust face anti-spoofing 期刊论文
International Journal of Computer Vision, 2023, 卷号: 131, 页码: 1680–1703,
作者:  Jiang, Fangling;  Li, Qi;  Liu, Pengcheng;  Zhou, Xiangdong;  Sun, Zhenan
Adobe PDF(2347Kb)  |  收藏  |  浏览/下载:180/46  |  提交时间:2024/02/23
基于特征的三维点云配准研究 学位论文
, 2023
作者:  Shiyi Guo
Adobe PDF(25276Kb)  |  收藏  |  浏览/下载:186/12  |  提交时间:2024/01/07
点云配准  三维特征提取  外点剔除  低重叠率场景  激光点云序列配准  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
Adobe PDF(1686Kb)  |  收藏  |  浏览/下载:103/5  |  提交时间:2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2083Kb)  |  收藏  |  浏览/下载:97/8  |  提交时间:2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning  
EventMix: An efficient data augmentation strategy for event-based learning 期刊论文
Information Sciences, 2023, 卷号: 644, 页码: 11
作者:  Shen, Guobin;  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(2595Kb)  |  收藏  |  浏览/下载:128/7  |  提交时间:2023/11/17
Event based data augmentation  Neuromorphic data  Spiking neural networks  Reasonable label assignment  Gaussian mixture model  
Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291
作者:  Zefeng Zheng;  Luyao Teng;  Wei Zhang;  Naiqi Wu;  Shaohua Teng
Adobe PDF(15412Kb)  |  收藏  |  浏览/下载:146/27  |  提交时间:2023/10/31
Cross-domain risk  dual density sampling  intra-domain risk  maximum mean discrepancy  knowledge transfer learning  resource-limited domain adaptation  
Diverse Deep Matrix Factorization With Hypergraph Regularization for Multi-View Data Representation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2154-2167
作者:  Haonan Huang;  Guoxu Zhou;  Naiyao Liang;  Qibin Zhao;  Shengli Xie
Adobe PDF(3206Kb)  |  收藏  |  浏览/下载:165/47  |  提交时间:2023/09/22
Deep matrix factorization (DMF)  diversity  hypergraph regularization  multi-view data representation (MDR)  
Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者:  Yangyang Li;  Chaoqun Fei;  Chuanqing Wang;  Hongming Shan;  Ruqian Lu
Adobe PDF(1815Kb)  |  收藏  |  浏览/下载:154/50  |  提交时间:2023/08/10
Curvature regularization  deep metric learning (DML)  embedding learning  geometry flow  riemannian metric