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A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 2, 页码: 947-956
作者:  Chu, Fei;  Dai, Bangwu;  Ma, Xiaoping;  Wang, Fuli;  Ye, Bin
收藏  |  浏览/下载：144/0  |  提交时间：2020/06/22
Predictive models  Data models  Adaptation models  Process control  Computational modeling  Integrated circuit modeling  Bayes methods  Bayesian model averaging (BMA)  minimum cost  multimodel migration  nonlinear  performance prediction  
Adversarial Feature Sampling Learning for Efficient Visual Tracking 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 2, 页码: 847-857
作者:  Yin, Yingjie;  Xu, De;  Wang, Xingang;  Zhang, Lei
收藏  |  浏览/下载：245/0  |  提交时间：2020/06/22
Adversarial learning  deep convolution neural network  feature sampling  visual tracking  
Sensing and Control for Simultaneous Precision Peg-in-Hole Assembly of Multiple Objects 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 1, 页码: 310-324
作者:  Liu, Song;  Li, You-Fu;  Xing, Dengpeng
收藏  |  浏览/下载：205/0  |  提交时间：2020/03/30
Multiple objects  precision assembly  probabilistic approach  simultaneous assembly