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Aug 9, 2010 · This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the ...
A distance metric learning algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database that measures ...
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in ...
Abstract—This paper considers a distance metric learning. (DML) algorithm for a fingerprinting system, which identifies a query content by finding the ...
Feb 15, 2021 · Distance metric learning is a branch of machine learning that aims to learn distances from the data, which enhances the performance of ...
Mar 25, 2023 · Distance metric learning is a branch of machine learning that aims to learn distances from the data, which enhances the performance of similarity-based ...
Distance metric learning (or simply, metric learning) aims at automatically constructing task-specific distance metrics from (weakly) supervised data.
Missing: Content Identification.
Dec 14, 2018 · Abstract:Distance metric learning is a branch of machine learning that aims to learn distances from the data, which enhances the performance ...
The idea of distance metric learning is to search for the optimal metric under which instances belonging to the same person are more similar.
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What is distance metric learning?
What is the learned distance function?
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What are the properties that metric learning follows?
Duration: 1:25:38
Posted: Jan 16, 2022
Posted: Jan 16, 2022
Missing: Identification. | Show results with:Identification.
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