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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書目詳細資料
主要作者: Tan, Ronald Tay Siang
其他作者: Zhang Jie
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2022
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在線閱讀:https://hdl.handle.net/10356/156649
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