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Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载：209/53  |  提交时间：2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
Ensuring the Correctness of Regular Expressions: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 521-535
作者:  Li-Xiao Zheng;  Shuai Ma;  Zu-Xi Chen;  Xiang-Yu Luo
Adobe PDF(1076Kb)  |  收藏  |  浏览/下载：141/45  |  提交时间：2021/07/20
Regular expressions  correctness  string generation  learning  static checking  verification  visualization, repairing  
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：298/68  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 277-287
作者:  Tri Wahyu Utomo, Adha Imam Cahyadi, Igi Ardiyanto
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：188/68  |  提交时间：2021/04/22
Grasping point estimation  household objects  red, green, blue and depth (RGBD) channel image  semantic segmentation  cluttered environment  
Inferring Functional Connectivity in fMRI Using Minimum Partial Correlation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 4, 页码: 371-385
作者:  Lei Nie;  Xian Yang1 Pau(l);  M. Matthews;  Zhi-Wei Xu;  Yi-Ke Guo
浏览  |  Adobe PDF(2876Kb)  |  收藏  |  浏览/下载：410/238  |  提交时间：2021/02/23
Functional connectivity  functional magnetic resonance imaging (fMRI)  network modelling  partial correlation  PCalgorithm  resting-state networks.  
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655
作者:  Zhen-Jie Yao;  Jie Bi;  Yi-Xin Chen
浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载：134/40  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Elaborate Scene Reconstruction with a Consumer Depth Camera 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 443-453
作者:  Jian-Wei Li;  Wei Gao;  Yi-Hong Wu
浏览  |  Adobe PDF(3346Kb)  |  收藏  |  浏览/下载：253/61  |  提交时间：2021/02/23
3D reconstruction  image processing  geometry registration  simultaneous localization and mapping (SLAM)  volumetric integration.  
Study on Information Diffusion Analysis in Social Networks and Its Applications 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 377-401
作者:  Biao Chang;  Tong Xu, Qi Liu;  En-Hong Chen
浏览  |  Adobe PDF(1372Kb)  |  收藏  |  浏览/下载：168/61  |  提交时间：2021/02/23
Information diffusion  influence evaluation  influence maximization  information source detection  social network.  
Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者:  Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang
浏览  |  Adobe PDF(2216Kb)  |  收藏  |  浏览/下载：187/53  |  提交时间：2021/02/22
Feature fusion  multi-scale circle Gaussian combined invariant moment  multi-direction gray level co-occurrence matrix  multi-source remote sensing image registration  contourlet transform.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：210/43  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.