Survey and experimental study on metric learning methods

时间 2020-12-30

标签度量学习繁體版

原文原文链接

Li D, Tian Y. Survey and experimental study on metric learning methods[J]. Neural Networks, 2018. 2017-2018最新影响因子 7.197 摘要距离度量学习由于其在提高距离相关方法（例如k个最近邻居（kNN））的性能方面高效性和高效率成为近来一项热门研究领域。度量学习旨在学习

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1. [survey 2019] A Survey of Zero-Shot Learning: Settings, Methods, and Applications
2. A Survey on Few-Shot Learning | Introduction and Overview
3. comments on"An Experimental Study on Speech Enhancement Based on Deep Neural Networks"(一)
4. A Survey on Transfer Learning
5. An Experimental Survey on Correlation Filter-based Tracking
6. A Survey of Zero-Shot Learning: Settings, Methods, and Applications [reading notes]
7. paper review : On Learning Associations of Faces and Voices
8. 综述论文“A Survey of Zero-Shot Learning: Settings, Methods, and Applications”
9. 【论文笔记】Deep Learning on Graphs: A Survey
10. 2020deep learning on Graphs:a survey被200

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