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EDT Method for Multiple Labelled Objects Subject to Tied Distances 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 468-479
作者:  Andre Marasca;  Andre Backes;  Fabio Favarim;  Marcelo Teixeira;  Dalcimar Casanova
Adobe PDF(2313Kb)  |  收藏  |  浏览/下载:251/51  |  提交时间:2021/05/24
Euclidean distance transform (EDT)  multiple-labelled objects  tied distances  fractal analysis  texture analysis  
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:260/38  |  提交时间:2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
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:208/47  |  提交时间:2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Toolpath Interpolation and Smoothing for Computer Numerical Control Machining of Freeform Surfaces: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 1-16
作者:  Wen-Bin Zhong;  Xi-Chun Luo;  Wen-Long Chang;  Yu-Kui Cai;  Fei Ding;  Hai-Tao Liu;  Ya-Zhou Sun
浏览  |  Adobe PDF(2079Kb)  |  收藏  |  浏览/下载:155/31  |  提交时间:2021/02/22
Computer numerical control (CNC)  toolpath  interpolation  smoothing  freeform surface.  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
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Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 673-688
作者:  G. Dharanibai;  Anupama Chandrasekharan;  Zachariah C. Alex
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Cardiovascular magnetic resonance  left ventricle  endocardium  epicardium  myocardium  segmentation  active contour  dynamic programming.  
A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266
作者:  Jian-Ru Xue;  Jian-Wu Fang;  Pu Zhang
Adobe PDF(2242Kb)  |  收藏  |  浏览/下载:103/36  |  提交时间:2021/02/23
Autonomous vehicle  scene understanding  event reasoning  intention prediction  scene representation.  
A Fuzzy Neural Network Based Dynamic Data Allocation Model on Heterogeneous Multi-GPUs for Large-scale Computations 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 181-193
作者:  Chao-Long Zhang;  Yuan-Ping Xu;  Zhi-Jie Xu;  Jia He;  Jing Wang;  Jian-Hua Adu
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Heterogeneous GPU cluster  dynamic load balancing  fuzzy neural network  adaptive scheduler  discrete wavelet transform.  
Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 310-324
作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli
浏览  |  Adobe PDF(1975Kb)  |  收藏  |  浏览/下载:109/39  |  提交时间:2021/02/23
Simultaneous localization and mapping  Markov random fields  iterated conditional modes  modelling  on-line solver.  
Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519
作者:  Tomaso Poggio;  Hrushikesh Mhaskar;  Lorenzo Rosasco;  Brando Miranda;  Qianli Liao
浏览  |  Adobe PDF(1711Kb)  |  收藏  |  浏览/下载:182/28  |  提交时间:2021/02/23
Deep learning  fine-grained image classification  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).