CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共12条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning 期刊论文
https://ieeexplore.ieee.org/abstract/document/10328468, 2024, 卷号: 46, 期号: 4, 页码: 2533-2544
作者:  Lu Zhang;  Lu Qi;  Xu Yang;  Hong Qiao;  Ming-Hsuan Yang;  Zhiyong Liu
Adobe PDF(20312Kb)  |  收藏  |  浏览/下载:42/16  |  提交时间:2024/06/06
Image recognition  novel category discovery  transfer learning  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载:183/14  |  提交时间:2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning 期刊论文
Neural Networks, 2020, 期号: 2020.06.003, 页码: 12
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong;  Amir Hussain
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载:359/14  |  提交时间:2020/06/09
Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics  
Supervised Polsar image classification by combining multiple features 会议论文
, Taipei, Taiwan, 2019/9/22-9/25
作者:  Huang, Xiayuan;  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo
浏览  |  Adobe PDF(384Kb)  |  收藏  |  浏览/下载:281/89  |  提交时间:2019/10/08
Manifold Warp Segmentation of Human Action 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1414-1426
作者:  Liu, Shenglan;  Feng, Lin;  Liu, Yang;  Qiao, Hong;  Wu, Jun;  Wang, Wei
浏览  |  Adobe PDF(3667Kb)  |  收藏  |  浏览/下载:425/141  |  提交时间:2018/01/06
Curvature  Dimensionality Reduction  Human Action Segmentation  Space Alignment  
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 11, 页码: 2102-2106
作者:  Huang, Xiayuan;  Zhang, Bo;  Qiao, Hong;  Nie, Xiangli
浏览  |  Adobe PDF(2283Kb)  |  收藏  |  浏览/下载:371/114  |  提交时间:2017/12/30
Canonical Correlation Analysis (Cca)  Dimensionality Reduction (Dr)  Local Discriminant Embedding (Lde)  Multiview Feature Extraction  Supervised Polarimetric Synthetic Aperture Radar (Polsar) Image Classification  
A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2016, 卷号: 23, 期号: 10, 页码: 1409-1413
作者:  Nie, Xiangli;  Zhang, Bo;  Chen, Yunjin;  Qiao, Hong;  Nie, XL
浏览  |  Adobe PDF(391Kb)  |  收藏  |  浏览/下载:394/139  |  提交时间:2016/12/05
Nonconvex Optimization  Polarimetric Synthetic Aperture Radar (Polsar)  Variational Method  
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 6, 页码: 2620-2634
作者:  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo;  Huang, Xiayuan
浏览  |  Adobe PDF(5355Kb)  |  收藏  |  浏览/下载:513/180  |  提交时间:2016/10/20
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Nonlocal Total Variation (Nltv)  Complex Wishart Distribution  Conjugate Function  Variational Model  
Introducing locally affine-invariance constraints into lunar surface image correspondence 期刊论文
NEUROCOMPUTING, 2016, 卷号: 186, 期号: 无, 页码: 258-270
作者:  Zhang, Yu-Ren;  Yang, Xu;  Qiao, Hong;  Liu, Zhi-Yong;  Liu, Chuan-Kai
浏览  |  Adobe PDF(4290Kb)  |  收藏  |  浏览/下载:381/93  |  提交时间:2016/06/21
Keypoint Correspondence  Point Ambiguity  Graph Matching  Lunar Image Processing  
The compliance of robotic hands - from functionality to mechanism 期刊论文
ASSEMBLY AUTOMATION, 2015, 卷号: 35, 期号: 3, 页码: 281-286
作者:  Li, Rui;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(235Kb)  |  收藏  |  浏览/下载:320/126  |  提交时间:2015/09/23
Grippers  Robotics  Compliant Mechanisms  Automatic Assembly  Cooperative Robots