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| Continuous Probabilistic SLAM Solved via Iterated Conditional Modes 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 838-850 作者: J. Gimenez; A. Amicarelli; J. M. Toibero; F. di Sciascio; R. Carelli Adobe PDF(2980Kb)  |  收藏  |  浏览/下载:212/71  |  提交时间:2021/02/22 Probabilistic simultaneous localization and mapping (SLAM) dynamic obstacles Markov random fields (MRF) iterated conditional modes (ICM) kernel estimator. |
| Type Synthesis and Kinematics Performance Analysis of a Class of 3T2R Parallel Mechanisms with Large Output Rotational Angles 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 775-785 作者: Bing-Shan Jiang; Hai-Rong Fang; Hai-Qiang Zhang Adobe PDF(10106Kb)  |  收藏  |  浏览/下载:126/39  |  提交时间:2021/02/22 Type synthesis Lie group theory configuration evolution kinematics performance evaluation. |
| Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736 作者: Xiang Zhang; Qiang Yang Adobe PDF(1145Kb)  |  收藏  |  浏览/下载:87/28  |  提交时间:2021/02/22 Dialog system transfer learning deep learning natural language processing (NLP) artificial intelligence. |
| A Fault Tolerant Control Scheme Using the Feasible Constrained Control Allocation Strategy 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 628-643 作者: Mehdi Naderi; Tor Arne Johansen; Ali Khaki Sedigh 浏览  |  Adobe PDF(1916Kb)  |  收藏  |  浏览/下载:98/43  |  提交时间:2021/02/22 Control allocation feasibility fault tolerant control model predictive control domain of attraction. |
| Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 563-574 作者: Ao-Xue Li; Ke-Xin Zhang; Li-Wei Wang 浏览  |  Adobe PDF(1089Kb)  |  收藏  |  浏览/下载:183/55  |  提交时间:2021/02/22 Fine-grained image classification zero-shot learning deep feature learning domain adaptation semantic graph. |
| Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 427-436 作者: Simone Hantke; Tobias Olenyi; Christoph Hausner; Tobias Appel; Björn Schuller 浏览  |  Adobe PDF(1345Kb)  |  收藏  |  浏览/下载:114/41  |  提交时间:2021/02/22 Human computation speech analysis crowdsourcing gamified data collection survey. |
| Deep Learning Based Single Image Super-resolution: A Survey 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426 作者: Viet Khanh Ha; Jin-Chang Ren; Xin-Ying Xu; Sophia Zhao; Gang Xie; Valentin Masero; Amir Hussain 浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载:126/32  |  提交时间:2021/02/22 Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning. |
| Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 129-149 作者: Brian D. O. Anderson; Mengbin Ye 浏览  |  Adobe PDF(1461Kb)  |  收藏  |  浏览/下载:128/48  |  提交时间:2021/02/22 Opinion dynamics social networks influence networks agent-based models multi-agent systems networked systems. |
| A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83 作者: Yuan Wu; Hai-Bing Zhu; Qing-Xiu Du; Shu-Ming Tang 浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载:262/80  |  提交时间:2021/02/22 Inertial measurement unit (IMU) pedestrian dead-reckoning indoor navigation technical route general framework. |
| Key Crowdsourcing Technologies for Product Design and Development 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 1-15 作者: Xiao-Jing Niu; Sheng-Feng Qin; John Vines; Rose Wong; Hui Lu 浏览  |  Adobe PDF(997Kb)  |  收藏  |  浏览/下载:191/55  |  提交时间:2021/02/22 Crowdsourcing technologies product design and development (PDD) communication information sharing design evaluation feedback. |