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Event Co-reference Resolution via a Multi-loss Neural Network without Using Argument Information 期刊论文
Science China Information Sciences, 2019, 卷号: 62, 期号: 11, 页码: 212101:1–212101:9
作者:  Xinyu Zuo;  Yubo Chen;  Kang Liu;  Jun Zhao
Adobe PDF(360Kb)  |  收藏  |  浏览/下载:174/58  |  提交时间:2021/06/18
Event co-reference resolution  Neural network  Information extraction  Multi-loss function  Event extraction  
A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载:198/59  |  提交时间:2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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:265/80  |  提交时间:2021/02/22
Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39
作者:  Yu Hao;  Zhi-Jie Xu;  Ying Liu;  Jing Wang;  Jiu-Lun Fan
浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载:219/58  |  提交时间:2021/02/22
Crowd behavior  spatial-temporal texture  gray level co-occurrence matrix  information entropy.  
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:233/67  |  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:283/65  |  提交时间:2020/06/20
Speech emotion recognition  the ladder network  semi-supervised learning  autoencoder  regularization  
Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 150743-150756
作者:  Zhang, Yong;  Fan, Yanbo;  Dong, Weiming;  Hu, Bao-Gang;  Ji, Qiang
收藏  |  浏览/下载:282/0  |  提交时间:2020/03/30
Gold  Estimation  Hidden Markov models  Training  Face  Task analysis  Neural networks  Facial action units  intensity estimation  deep learning  weakly supervised learning  
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
浏览  |  Adobe PDF(2646Kb)  |  收藏  |  浏览/下载:371/76  |  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  
Progressive Joint Framework for Chinese Question Entity Discovery and Linking With Question Representations 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: -, 页码: 146282-146300
作者:  Lin, Ziqi;  Zhang, Haidong;  Ni, Wancheng;  Yang, Yiping
浏览  |  Adobe PDF(3302Kb)  |  收藏  |  浏览/下载:300/75  |  提交时间:2020/03/30
Entity discovery and linking  information extraction  joint method  natural language processing  question representation model  
Deep Hierarchical Encoder-Decoder Network for Image Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2942-2956
作者:  Xiao, Xinyu;  Wang, Lingfeng;  Ding, Kun;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载:321/0  |  提交时间:2020/03/30
Visualization  Semantics  Hidden Markov models  Decoding  Logic gates  Training  Computer architecture  Deep hierarchical structure  encoder-decoder  LSTM  image captioning  retrieval  vision-sentence