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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：252/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Evolutionary Computation in Social Propagation over Complex Networks: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 503-520
作者:  Tian-Fang Zhao;  Wei-Neng Chen;  Xin-Xin Ma;  Xiao-Kun Wu
Adobe PDF(1283Kb)  |  收藏  |  浏览/下载：165/47  |  提交时间：2021/07/20
Evolutionary computation  complex network  propagation dynamics  social diffusion  evolution model  optimization algorithm  
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：222/47  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
A Comprehensive Review on Group Activity Recognition in Videos 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350
作者:  Li-Fang Wu;  Qi Wang;  Meng Jian;  Yu Qiao;  Bo-Xuan Zhao
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：293/70  |  提交时间：2021/05/24
Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision  
Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 300-310
作者:  Yue-Yan Qin;  Jiang-Tao Cao;  Xiao-Fei Ji
Adobe PDF(2289Kb)  |  收藏  |  浏览/下载：242/61  |  提交时间：2021/04/22
Fire detection  depthwise separable convolution  fire classification  You Only Look Once version 3 (YOLOv3)  target regression  
A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 288-299
作者:  Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma
Adobe PDF(1402Kb)  |  收藏  |  浏览/下载：207/61  |  提交时间：2021/04/22
Augmented reality  markerless  tracking registration  LineMod  iterative closest point (ICP) algorithm  
Camera-based Basketball Scoring Detection Using Convolutional Neural Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 266-276
作者:  Xu-Bo Fu;  Shao-Long Yue;  De-Yun Pan
Adobe PDF(4945Kb)  |  收藏  |  浏览/下载：173/55  |  提交时间：2021/04/22
Computer vision  convolutional neural network (CCN)  frame difference  motion detection  object detection  real-time system  
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：198/66  |  提交时间：2021/04/22
Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction  
Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 155-169
作者:  Wen-Jing Hong;  Peng Yang;  Ke Tang
Adobe PDF(946Kb)  |  收藏  |  浏览/下载：160/43  |  提交时间：2021/04/22
Large-scale multi-objective optimization  high-dimensional search space  evolutionary computation  evolutionary algorithms  scalability  
An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67
作者:  S. Nagaraju;  Manish Kashyap;  Mahua Bhattachraya
浏览  |  Adobe PDF(30557Kb)  |  收藏  |  浏览/下载：144/35  |  提交时间：2021/02/23
Density based clustering  neighborhood difference  density-based spatial clustering of applications with noise (DBSCAN)  space density indexing (SDI)  core object.