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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:238/54  |  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:314/78  |  提交时间:2021/05/24
Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision  
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
Adobe PDF(5409Kb)  |  收藏  |  浏览/下载:204/50  |  提交时间:2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
Learning to Transform Service Instructions into Actions with Reinforcement Learning and Knowledge Base 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 582-592
作者:  Meng-Yang Zhang;  Guo-Hui Tian;  Ci-Ci Li;  Jing Gong
Adobe PDF(975Kb)  |  收藏  |  浏览/下载:184/54  |  提交时间:2021/02/23
Natural language  robot  knowledge base  reinforcement learning  object state.  
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
Adobe PDF(1069Kb)  |  收藏  |  浏览/下载:153/61  |  提交时间:2021/02/23
Service robot  cognition computing  selective attention  semantic knowledge base  artificial neural network.  
Current Researches and Future Development Trend of Intelligent Robot: A Review 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 525-546
作者:  Tian-Miao Wang;  Yong Tao;  Hui Liu
Adobe PDF(2945Kb)  |  收藏  |  浏览/下载:231/64  |  提交时间:2021/02/23
Intelligent robot  human-robot collaboration  driverless technology  emotion recognition  brain-computer interface  big data network.  
STEP-based Feature Recognition System for B-spline Surface Features 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 500-512
作者:  Bitla Venu;  Venkateswara Rao Komma;  Deepanshu Srivastava
Adobe PDF(959Kb)  |  收藏  |  浏览/下载:173/72  |  提交时间:2021/02/23
Feature recognition  3D computer aided design (CAD) model  geometrical information  standard for the exchange of product model data (STEP) AP203  Java standard data access interface (JSDAI).  
A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载:261/69  |  提交时间:2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Synthesizing Robot Programs with Interactive Tutor Mode 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 462-474
作者:  Hao Li;  Yu-Ping Wang;  Tai-Jiang Mu
浏览  |  Adobe PDF(1023Kb)  |  收藏  |  浏览/下载:162/66  |  提交时间:2021/02/22
Human-robot interaction  semantic parsing  program synthesis  intelligent robotic systems  natural language understanding.  
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296
作者:  Bing-Tao Zhang;  Xiao-Peng Wang;  Yu Shen
浏览  |  Adobe PDF(847Kb)  |  收藏  |  浏览/下载:198/54  |  提交时间:2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.