Bag-Based Feature-Class Correlation Analysis for Multi-Instance Learning Application
Multi-instance Learning (MIL) is widely applied in image classification. In MIL, an image is presented as a bag. A bag consists of multi-instance which is known as patches. Irrelevant features of the image presented to the classifier affects the classification performance. Feature selection is one o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11058/1/J17533_bdc74aa47f8929110c75df69a7d6f211.pdf |