Low-Rank Robust Online Distance/Similarity Learning based on the Rescaled Hinge Loss
An important challenge in metric learning is scalability to both size and dimension of input data. Online metric learning algorithms are proposed to address this challenge. Existing methods are commonly based on (Passive Aggressive) PA approach. Hence, they can rapidly process large volumes of data...
Main Authors: | , , |
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Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
arXiv
2020
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Subjects: | |
Online Access: | https://dx.doi.org/10.48550/arxiv.2010.03268 https://arxiv.org/abs/2010.03268 |