Learning features from irrelevant domains through deep neural network

Abstract Features of data are much critical to the classification. However, when only small data are available, suitable features can not be easily obtained, easily leading to the bad classification performance. This paper propose a novel approach to automatically learns features from the irrelevant...

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Main Authors: Pengcheng Wen, Yuhan Zhang, Guihua Wen
פורמט: Article
שפה:English
יצא לאור: Springer 2023-07-01
סדרה:Complex & Intelligent Systems
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גישה מקוונת:https://doi.org/10.1007/s40747-023-01157-6