Data Splitting Method of Distance Metric Learning Based on Gaussian Mixed Model

Data Splitting Method of Distance Metric Learning Based on Gaussian Mixed Model

Aimed at the problem of instability and deviation of multiple training model in limited samples, this paper proposes a method of distance metric learning based on the Gaussian mixture model, which can solve this problem more reasonably by dividing the dataset. Distance metric learning relies on the...

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Bibliographic Details
Main Authors: ZHENG Dezhong, YANG Yuanyuan, XIE Zhe, NI Yangfan, LI Wentao
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021-02-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
artificial intelligence training
dataset division
deep neural networks
gaussian mixture model
Online Access:http://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2020.082

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