Dual-Space Transfer Learning Based on an Indirect Mutual Promotion Strategy
Abstract Transfer learning is designed to leverage knowledge in the source domain with labels to help build classification models in the target domain where labels are scarce or even unavailable. Previous studies have shown that high-level concepts extracted from original features are more suitable...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2022-09-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44196-022-00132-2 |