Transferring knowledge fragments for learning distance metric from a heterogeneous domain

Transferring knowledge fragments for learning distance metric from a heterogeneous domain

The goal of transfer learning is to improve the performance of target learning task by leveraging information (or transferring knowledge) from other related tasks. In this paper, we examine the problem of transfer distance metric learning (DML), which usually aims to mitigate the label information d...

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書目詳細資料
Main Authors:	Luo, Yong, Wen, Yonggang, Liu, Tongliang, Tao, Dacheng
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Statistics - Machine Learning Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Engineering::Computer science and engineering Transfer Learning Distance Metric Learning
在線閱讀:	https://hdl.handle.net/10356/141947
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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