中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共208条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Parallel learning: a perspective and a framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 3, 页码: 389 - 395
作者:  Li Li;  Yilun Lin;  Nanning Zheng;  Fei-Yue Wang
Adobe PDF(1354Kb)  |  收藏  |  浏览/下载：105/21  |  提交时间：2023/03/07
Social Media based Transportation Research: the State of the Work and the Networking 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 1, 页码: 19-26
作者:  Yisheng Lv;  Yuanyuan Chen;  Xiqiao Zhang;  Yanjie Duan;  Naiqiang Li
Adobe PDF(13247Kb)  |  收藏  |  浏览/下载：170/24  |  提交时间：2022/04/08
transportation research , social media data , traffic information sources , social network analysis methods , collaboration patterns  
深度强化学习进展: 从 AlphaGo 到 AlphaGo Zero 期刊论文
控 制 理 论 与 应 用, 2017, 卷号: 34, 期号: 12, 页码: 1529-1546
作者:  唐振韬;  邵 坤;  赵冬斌;  朱圆恒
Adobe PDF(8232Kb)  |  收藏  |  浏览/下载：228/35  |  提交时间：2021/07/05
深度强化学习  AlphaGo Zero  深度学习  强化学习  人工智能  
A Brain-inspired SLAM System Based on ORB Features 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 564-575
作者:  Sun-Chun Zhou;  Rui Yan;  Jia-Xin Li;  Ying-Ke Chen;  Huajin Tang
浏览  |  Adobe PDF(2451Kb)  |  收藏  |  浏览/下载：183/42  |  提交时间：2021/02/23
Simultaneous localization and mapping (SLAM)  RatSLAM  mobile robot  oriented features from accelerated segment test and rotated binary robust independent elementary (ORB) features of RGB (red, green, blue)  cognitive map.  
Flexible Robotic Grasping Strategy with Constrained Region in Environment 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 552-563
作者:  Chao Ma;  Hong Qiao;  Rui Li;  Xiao-Qing Li
浏览  |  Adobe PDF(1348Kb)  |  收藏  |  浏览/下载：245/96  |  提交时间：2021/02/23
Grasping strategy  compliant grasping  dexterous robotic hands  attractive region in environment  constrained region in environment.  
On the Centre of Mass Motion in Human Walking 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 542-551
作者:  Justin Carpentier;  Mehdi Benallegue;  Jean-Paul Laumond
浏览  |  Adobe PDF(3792Kb)  |  收藏  |  浏览/下载：159/48  |  提交时间：2021/02/23
Human locomotion  analytical model  centre of mass  locomotion signature  synergies.  
Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519
作者:  Tomaso Poggio;  Hrushikesh Mhaskar;  Lorenzo Rosasco;  Brando Miranda;  Qianli Liao
Adobe PDF(1711Kb)  |  收藏  |  浏览/下载：188/29  |  提交时间：2021/02/23
Deep learning  fine-grained image classification  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
Inferring Functional Connectivity in fMRI Using Minimum Partial Correlation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 4, 页码: 371-385
作者:  Lei Nie;  Xian Yang1 Pau(l);  M. Matthews;  Zhi-Wei Xu;  Yi-Ke Guo
浏览  |  Adobe PDF(2876Kb)  |  收藏  |  浏览/下载：359/215  |  提交时间：2021/02/23
Functional connectivity  functional magnetic resonance imaging (fMRI)  network modelling  partial correlation  PCalgorithm  resting-state networks.  
PLS-CCA Heterogeneous Features Fusion-based Low-resolution Human Detection Method for Outdoor Video Surveillance 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 136-146
作者:  Hong-Kai Chen;  Xiao-Guang Zhao;  Shi-Ying Sun;  Min Tan
浏览  |  Adobe PDF(13495Kb)  |  收藏  |  浏览/下载：211/39  |  提交时间：2021/02/23
Low-resolution human detection  partial least squares  canonical correlation analysis  heterogeneous features  outdoor video surveillance.  
A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135
作者:  Bo Zhao;  Jiashi Feng;  Xiao Wu;  Shuicheng Yan
浏览  |  Adobe PDF(5409Kb)  |  收藏  |  浏览/下载：174/38  |  提交时间：2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).