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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Bibliographic Details

Published in:	Complex & Intelligent Systems
Main Authors:	Pengcheng Wen, Yuhan Zhang, Guihua Wen
Format:	Article
Language:	English
Published:	Springer 2023-07-01
Subjects:	Classification Irrelevant domain Feature learning Machine learning Deep neural network
Online Access:	https://doi.org/10.1007/s40747-023-01157-6