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...

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Bibliographic Details
Main Authors: Zabihzadeh, Davood, Tuama, Amar, Karami-Mollaee, Ali
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2020
Subjects:
DML
Online Access:https://dx.doi.org/10.48550/arxiv.2010.03268
https://arxiv.org/abs/2010.03268