Supervised Categorical Metric Learning With Schatten p-Norms
Metric learning has been successful in learning new metrics adapted to numerical datasets. However, its development of categorical data still needs further exploration. In this article, we propose a method, called CPML for categorical projected metric learning, which tries to efficiently (i.e., less...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
NLM (Medline)
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |