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Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：246/51  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
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：286/62  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载：217/45  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333
作者:  Xiao-Qin Zhang;  Run-Hua Jiang;  Chen-Xiang Fan;  Tian-Yu Tong;  Tao Wang Peng-Cheng Huang
Adobe PDF(1787Kb)  |  收藏  |  浏览/下载：286/44  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 219-232
作者:  Zhen-Yi Zhao;  Yang Cao;  Yu Kang;  Zhen-Yi Xu
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载：147/52  |  提交时间：2021/04/22
Vehicle emission prediction  spatiotemporal gragh convolution  GPS trajectories  motor vehicle emission simulator (MOVES) model  feature sharing  
A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135
作者:  Bo Zhao;  Jiashi Feng;  Xiao Wu;  Shuicheng Yan
浏览  |  Adobe PDF(5409Kb)  |  收藏  |  浏览/下载：187/44  |  提交时间：2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 55-72
作者:  Abhijit Guha;  Debabrata Samanta
浏览  |  Adobe PDF(1485Kb)  |  收藏  |  浏览/下载：260/62  |  提交时间：2021/02/23
Anomaly detection  title insurance  autoencoder  one-class support vector machine (OSVM)  term frequency – inverse document frequency (TF-IDF)  robotic process automation  dimensionality reduction  
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：125/35  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 559-569
作者:  Huan-Zhao Chen;  Guo-Hui Tian;  Guo-Liang Liu
浏览  |  Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：135/55  |  提交时间：2021/02/23
Service robot  cognition computing  selective attention  semantic knowledge base  artificial neural network.  
A Fast Compression Framework Based on 3D Point Cloud Data for Telepresence 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 855-866
作者:  Zun-Ran Wang;  Chen-Guang Yang;  Shi-Lu Dai
浏览  |  Adobe PDF(1401Kb)  |  收藏  |  浏览/下载：228/76  |  提交时间：2021/02/22
3D point cloud compression  motion estimation  signatures of histograms orientation  3D point cloud matching  predicted frame and intra frame.