Applications of cluster-based transfer learning in image and localization tasks

Transfer learning can address the issue of insufficient labels in machine learning. Using knowledge in a labeled domain (source domain) can assist in acquiring and learning knowledge in a domain (target domain) that lacks some or all labels. In this paper, we propose a new cluster-based semi-supervi...

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Bibliographic Details
Main Authors: Liuyi Yang, Patrick Finnerty, Chikara Ohta
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266682702400077X
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