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: | , , , , |
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格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/160940 |
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