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:
MGCN: Descriptor Learning using Multiscale GCNs 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2020, 卷号: 39, 期号: 4, 页码: 15
作者:  Wang, Yiqun;  Ren, Jing;  Yan, Dong-Ming;  Guo, Jianwei;  Zhang, Xiaopeng;  Wonka, Peter
Adobe PDF(32624Kb)  |  收藏  |  浏览/下载:377/22  |  提交时间:2021/01/06
Multiscale  Energy Decomposition  Wavelet Convolution  Shape Matching  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 卷号: 42, 期号: 11, 页码: 2874-2886
作者:  Jianlong Chang;  Lingfeng Wang;  Gaofeng Meng;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(3090Kb)  |  收藏  |  浏览/下载:293/101  |  提交时间:2020/10/20
Local-aggregation function  local-aggregation graph neural network  non-Euclidean structured signal  
PolSAR Image Feature Extraction via Co-Regularized Graph Embedding 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 19
作者:  Huang, Xiayuan;  Nie, Xiangli;  Qiao, Hong
浏览  |  Adobe PDF(8269Kb)  |  收藏  |  浏览/下载:378/80  |  提交时间:2020/08/03
Wishart distance  Euclidean distance of polarimetric features  co-regularized graph embedding  dimensionality reduction  PolSAR image feature extraction  
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载:381/65  |  提交时间:2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(6287Kb)  |  收藏  |  浏览/下载:277/70  |  提交时间:2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载:450/99  |  提交时间:2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning