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Beam-pointing drift prediction in pulsed lasers by a probabilistic learning approach 期刊论文
Applied Optics, 2019, 卷号: 58, 期号: 4, 页码: 948-953
作者:  Chang Hui;  Fan Zhongwei;  Qiu Jisi;  Ge Wenqi;  Wang Haocheng;  Yan Ying;  Tang XiongXin;  Yuan Hong
Adobe PDF(971Kb)  |  收藏  |  浏览/下载：97/44  |  提交时间：2023/04/25
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：205/68  |  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.  
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：256/79  |  提交时间：2021/02/22
Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
Multi-layer Contribution Propagation Analysis for Fault Diagnosis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 40-51
作者:  Ruo-Mu Tan;  Yi Cao
浏览  |  Adobe PDF(1077Kb)  |  收藏  |  浏览/下载：106/38  |  提交时间：2021/02/22
Process monitoring  fault detection and diagnosis  contribution plots  feature extraction  multivariate statistics.  
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET Image Processing, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Prasong Pusit;  Xiaoliang,Xie;  Zeng-Guang Hou
Adobe PDF(2646Kb)  |  收藏  |  浏览/下载：228/66  |  提交时间：2020/11/05
image sequences  blood vessels  video signal processing  object detection  
Semi-supervised Ladder Networks for Speech Emotion Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 437-448
作者:  Tao, Jianhua;  Huang, Jian;  Li, Ya;  Lian, Zheng;  Niu, Mingyue
浏览  |  Adobe PDF(1025Kb)  |  收藏  |  浏览/下载：270/60  |  提交时间：2020/06/20
Speech emotion recognition  the ladder network  semi-supervised learning  autoencoder  regularization  
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Pusit, Prasong;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(2646Kb)  |  收藏  |  浏览/下载：357/73  |  提交时间：2020/03/30
blood vessels  medical image processing  surgery  image sequences  video signal processing  image filtering  object detection  X-ray imaging  object tracking  stroke width variation filter  region detection  local binary patterns  guide-wire recognition  conventional MSER methods  maximally stable extremal regions  guide-wire position  anatomical skeleton contours  training data  X-ray video sequence  percutaneous coronary intervention surgery  region area range filter  X-ray video monitoring  guide-wire tip detection  modified multifilters  training templates  
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
Adobe PDF(3588Kb)  |  收藏  |  浏览/下载：320/55  |  提交时间：2020/03/30
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network  
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：299/42  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
Deep imitator: handwriting calligraphy imitation via deep attention networks 期刊论文
Pattern Recogniton, 2019, 期号: 已接收, 页码: 已接收
作者:  Zhao, Bocheng;  Tao, Jianhua;  Yang, Minghao;  Tian, Zhengkun;  Fan, Cunhang;  Bai, Ye
浏览  |  Adobe PDF(2498Kb)  |  收藏  |  浏览/下载：438/168  |  提交时间：2020/01/05
calligraphy imitation, attention, mata-style matrix, condition Gated Recurrent Unit