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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
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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.  
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).  
Event-based Control and Filtering of Networked Systems: A Survey 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 3, 页码: 239-253
作者:  Lei Zou;  Zi-Dong Wang;  Dong-Hua Zhou
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Event-triggered transmission  networked systems  event-based control  event-based filtering  event-triggered distributed state estimation  distributed control with event-based protocol.  
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
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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
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Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67
作者:  S. Nagaraju;  Manish Kashyap;  Mahua Bhattachraya
Adobe PDF(30557Kb)  |  收藏  |  浏览/下载:130/34  |  提交时间:2021/02/23
Density based clustering  neighborhood difference  density-based spatial clustering of applications with noise (DBSCAN)  space density indexing (SDI)  core object.  
A Novel Minkowski-distance-based Consensus Clustering Algorithm 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 33-44
作者:  De-Gang Xu;  Pan-Lei Zhao;  Chun-Hua Yang;  Wei-Hua Gui;  Jian-Jun He
Adobe PDF(10416Kb)  |  收藏  |  浏览/下载:87/40  |  提交时间:2021/02/23
Minkowski distance  consensus clustering  similarity matrix  process data  froth flotation.  
Pinning Control and Controllability of Complex Dynamical Networks 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 1-9
作者:  Guanrong Chen
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Complex network  pinning control  controllability  linear time-invariant (LTI) system  temporally switching network  graph theory.