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Tracking Registration Algorithm for Augmented Reality Based on Template Tracking 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 257-266
作者:  Peng-Xia Cao;  Wen-Xin Li;  Wei-Ping Ma
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Tracking registration  augmented reality  markerless  random ferns  Lucas-Kanade (LK) optical flow.  
Item Ownership Relationship Semantic Learning Strategy for Personalized Service Robot 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 390-402
作者:  Hao Wu;  Zhao-Wei Chen;  Guo-Hui Tian;  Qing Ma;  Meng-Lin Jiao
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Service robot  ownership relationship  convolutional neural network  human-object spatial relationship  personalized service.  
The Propagation Background in Social Networks: Simulating and Modeling 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 353-363
作者:  Kai Li;  Tong Xu;  Shuai Feng;  Li-Sheng Qiao;  Hua-Wei Shen;  Tian-Yang Lv;  Xue-Qi Cheng;  En-Hong Chen
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Social network  information overload  propagation background  simulating  modeling.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
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Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).  
Binocular Vision Object Positioning Method for Robots Based on Coarse-fine Stereo Matching 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 562-571
作者:  Wei-Ping Ma;  Wen-Xin Li;  Peng-Xia Cao
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Object positioning  stereo matching  random fern  normalized cross correlation  binocular vision model.  
A Novel Self-adaptive Circuit Design Technique Based on Evolvable Hardware 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 744-751
作者:  Jun-Bin Zhang;  Jin-Yan Cai;  Ya-Feng Meng;  Tian-Zhen Meng
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Circuit design  self-adaptive design  redundant fault tolerance technique  evolvable hardware (EHW)  evolutionary algorithms (EA).  
Item Response Theory Based Ensemble in Machine Learning 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 621-636
作者:  Ziheng Chen;  Hongshik Ahn
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Classification  ensemble learning  item response theory  machine learning  expectation maximization (EM) algorithm.