@inproceedings{9f7e2ffac0af467383cbaeffc004c0d2,
title = "Intrinsic Dimension Estimation of Iudustrial Surface Defect Data and Its Impact on Classification",
abstract = "In today's era of rapid development of artificial intelligence, machine vision technology based on deep learning is widely used. In this paper, the intrinsic dimension estimation of industrial defect data and its impact on classification and generalization are studied based on machine vision in the detection of industrial defects. In this work, Maximum Likelihood Estimation (MLE) algorithm is used to estimate the intrinsic dimensions of three common industrial defect data, and to verify the influence of the intrinsic dimensions on sample complexity and classification.",
keywords = "Classification, Intrinsic dimension, MLE, Sample complexity, Surface defect data",
author = "Jianbin Huang and Wenheng Peng and Junyuan Zheng and Xiaopin Zhong and Wu, \{Zong Ze\} and Weixiang Liu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 China Automation Congress, CAC 2023 ; Conference date: 17-11-2023 Through 19-11-2023",
year = "2023",
doi = "10.1109/CAC59555.2023.10451119",
language = "英语",
series = "Proceedings - 2023 China Automation Congress, CAC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7128--7132",
booktitle = "Proceedings - 2023 China Automation Congress, CAC 2023",
}