A construction of heterogeneous transfer learning model based on associative fusion of image feature data
Abstract Source images and predicted target images differ in image features. When heterogeneous transfer learning is applied some difficulties and further issues appear. For example, noise in image recognition appears and is required to be reduced. The Image Feature Data Learning and the Definition...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-99163-w |
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