Transferring knowledge fragments for learning distance metric from a heterogeneous domain

• المؤلفون الرئيسيون: Luo, Yong, Wen, Yonggang, Liu, Tongliang, Tao, Dacheng
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Statistics - Machine Learning; Computer Science - Computer Vision and Pattern Recognition; Computer Science - Learning; Engineering::Computer science and engineering; Transfer Learning; Distance Metric Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/141947

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...