Simultaneously learning affinity matrix and data representations for machine fault diagnosis

Recently, preserving geometry information of data while learning representations have attracted increasing attention in intelligent machine fault diagnosis. Existing geometry preserving methods require to predefine the similarities between data points in the original data space. The predefined affin...

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Main Authors: Li, Yue, Zeng, Yijie, Liu, Tianchi, Jia, Xiaofan, Huang, Guang-Bin
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/160940
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