An adaptive dropout based deep metric learning algorithm
The key idea of Deep Metric Learning (DML) is to learn a set of hierarchical non-linear mappings using deep neural networks, and then project the data samples into a new feature space for comparing or matching. As its name suggest, DML is a combination of deep learning and metric learning. Deep lear...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156649 |