Neighbouring Proximity - An Key Impact Factor of Deep Machine Learning

Hongyuan Shi, Yunke Li, Liang Chen, Fan Jiang
2018 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)  
Deep Learning has become increasingly popular since 2006. It has an outstanding capability to extract and represent the features of raw data and it has been applied to many domains, such as image processing, pattern recognition, computer vision, machine translation, natural language processing, and autopilot. While the advantages of deep learning methods are widely accepted, the limitations are not well studied. This thesis studies cases where deep learning methods lose their advantages over
more » ... ditional methods. Our experiments show that, when the neighbouring proximity disappears, deep learning methods are significantly less powerful than traditional methods. Our work not only clearly indicates that deep structure methods cannot fully replace traditional shallow methods but also shows the potential risks of applying deep learning to autopilot. i Contents Abstract i List of Figures v Acknowledgements viii
doi:10.1109/icci-cc.2018.8482089 dblp:conf/IEEEicci/ShiLCJ18 fatcat:t7misysu3bdhjgbx2uwnbrshf4