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Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980
作者:  Cong-Zhong Wu;  Jun Sun;  Jing Wang;  Liang-Feng Xu;  Shu Zhan
Adobe PDF(1416Kb)  |  收藏  |  浏览/下载:182/43  |  提交时间:2021/11/26
Retina vessel segmentation  deep learning  U-Net  attention mechanism  medical image  
Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962
作者:  Nan Jiang;  Ting Liu
Adobe PDF(1905Kb)  |  收藏  |  浏览/下载:223/50  |  提交时间:2021/11/26
Disguised voice recognition  deep belief network  feature extraction  Gammatone frequency cepstrum coefficients (GFCC)  dropout  
STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730
作者:  Zhi-Wei Xu;  Xiao-Jun Wu;  Josef Kittler
Adobe PDF(1129Kb)  |  收藏  |  浏览/下载:193/48  |  提交时间:2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218
作者:  Wen-Han Zhu;  Wei Sun;  Xiong-Kuo Min;  Guang-Tao Zhai;  Xiao-Kang Yang
Adobe PDF(1343Kb)  |  收藏  |  浏览/下载:186/62  |  提交时间:2021/04/22
Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction  
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 170-184
作者:  Shuo Huang;  Wei Shao;  Mei-Ling Wang;  Dao-Qiang Zhang
Adobe PDF(4328Kb)  |  收藏  |  浏览/下载:164/42  |  提交时间:2021/04/22
Functional magnetic resonance imaging (fMRI)  functional alignment  brain activity, brain decoding  visual stimuli reconstruction  
Flexible Robotic Grasping Strategy with Constrained Region in Environment 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 552-563
作者:  Chao Ma;  Hong Qiao;  Rui Li;  Xiao-Qing Li
浏览  |  Adobe PDF(1348Kb)  |  收藏  |  浏览/下载:260/97  |  提交时间:2021/02/23
Grasping strategy  compliant grasping  dexterous robotic hands  attractive region in environment  constrained region in environment.  
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:202/31  |  提交时间:2021/02/23
Deep learning  fine-grained image classification  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 18-44
作者:  Wei Jia;  Jian Gao;  Wei Xia;  Yang Zhao;  Hai Min;  Jing-Ting Lu
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Performance evaluation  convolutional neural network (CNN)  biometrics  palmprint  palm vein  deep learning  
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
Adobe PDF(692Kb)  |  收藏  |  浏览/下载:122/34  |  提交时间:2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Genetic Programming-based Self-reconfiguration Planning for Metamorphic Robot 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 431-442
作者:  Tarek Ababsa;  Noureddine Djedl;  Yves Duthen
Adobe PDF(2672Kb)  |  收藏  |  浏览/下载:120/47  |  提交时间:2021/02/23
Modular robots  unit-compressible modules  self-reconfiguration  genetic programming  reconfiguration planning.