An adaptive dropout based deep metric learning algorithm

• المؤلف الرئيسي: Tan, Ronald Tay Siang
• مؤلفون آخرون: Zhang Jie
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/156649

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...