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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：214/53  |  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：269/99  |  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：183/57  |  提交时间：2021/02/23
Human locomotion  analytical model  centre of mass  locomotion signature  synergies.  
Why Deep Neural Nets Cannot Ever Match Biological Intelligence and What To Do About It? 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 532-541
作者:  Danko Nikolic
浏览  |  Adobe PDF(349Kb)  |  收藏  |  浏览/下载：134/26  |  提交时间：2021/02/23
Artificial intelligence  neural networks  strong artificial intelligence  practopoiesis, machine learning.  
Imitating the Brain with Neurocomputer A “New” Way Towards Artificial General Intelligence 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 520-531
作者:  Tie-Jun Huang
浏览  |  Adobe PDF(262Kb)  |  收藏  |  浏览/下载：189/59  |  提交时间：2021/02/23
Artificial general intelligence (AGI)  neuromorphic computing  neurocomputer  brain-like intelligence  imitationalism.  
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
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Deep learning  fine-grained image classification  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
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：192/45  |  提交时间：2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).