中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共9条，第1-9条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 186-196
作者:  Li, Mingda;  Sun, Zhengya;  Zhang, Wensheng
Adobe PDF(931Kb)  |  收藏  |  浏览/下载：312/52  |  提交时间：2022/06/10
Knowledge graph embedding  Out-of-knowledge-graph entities  Knowledge graph completion  Similarity search  
Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples 期刊论文
NEUROCOMPUTING, 2022, 卷号: 468, 页码: 60-70
作者:  Xi, Jianing;  Miao, Zhaoji;  Liu, Longzhong;  Yang, Xuebing;  Zhang, Wensheng;  Huang, Qinghua;  Li, Xuelong
收藏  |  浏览/下载：190/0  |  提交时间：2021/12/28
Breast ultrasound  Knowledge graph  Tensor decomposition  Limited labeled samples  
Enhancing knowledge graph embedding with relational constraints 期刊论文
NEUROCOMPUTING, 2021, 卷号: 429, 页码: 77-88
作者:  Li, Mingda;  Sun, Zhengya;  Zhang, Siheng;  Zhang, Wensheng
收藏  |  浏览/下载：253/0  |  提交时间：2021/03/29
Knowledge graph embedding  Translational model  Relational constraints  Knowledge graph completion  
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：292/54  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise 期刊论文
NEUROCOMPUTING, 2019, 卷号: 330, 期号: 22, 页码: 138-150
作者:  Zeng, Fanxia;  Zhang, Wensheng;  Zhang, Siheng;  Zheng, Nan
Adobe PDF(917Kb)  |  收藏  |  浏览/下载：392/59  |  提交时间：2019/07/12
Resampling scheme  KISSME  Distance metric learning  Label noise  
Learning a generative classifier from label proportions 期刊论文
NEUROCOMPUTING, 2014, 卷号: 139, 页码: 47-55
作者:  Fan, Kai;  Zhang, Hongyi;  Yan, Songbai;  Wang, Liwei;  Zhang, Wensheng;  Feng, Jufu
收藏  |  浏览/下载：224/0  |  提交时间：2016/03/30
Proportion Learning  Bayesian Model  Restricted Boltzmann Machine  
Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking 期刊论文
NEUROCOMPUTING, 2015, 卷号: 2015, 期号: 160, 页码: 191-205
作者:  Yang, Yehui;  Xie, Yuan;  Zhang, Wensheng;  Hu, Wenrui;  Tan, Yuanhua
浏览  |  Adobe PDF(16651Kb)  |  收藏  |  浏览/下载：398/58  |  提交时间：2015/09/21
Visual Tracking  Sparse Representation  Dictionary Learning  Coupled Learning  Consistency Ensuring  
A total variation based nonrigid image registration by combining parametric and non-parametric transformation models 期刊论文
NEUROCOMPUTING, 2014, 卷号: 144, 页码: 222-237
作者:  Hu, Wenrui;  Xie, Yuan;  Li, Lin;  Zhang, Wensheng
浏览  |  Adobe PDF(20168Kb)  |  收藏  |  浏览/下载：335/75  |  提交时间：2015/09/18
Nonrigid Registration  Free-form Deformation  Non-parametric Transformation  Total Variation  Split Bregman Iteration  
Single image super-resolution using combined total variation regularization by split Bregman Iteration 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 页码: 551-560
作者:  Li, Lin;  Xie, Yuan;  Hu, Wenrui;  Zhang, Wensheng
Adobe PDF(12862Kb)  |  收藏  |  浏览/下载：292/81  |  提交时间：2015/09/18
Super-resolution  Total Variation  Steering Kernel Regression  Split Bregman Iteration  Local Structural Regularity  Non-local Self-similarity