Metric learning: a survey

Metric Learning: A Review presents an overview of existing research in metric learning, including recent progress on scaling to high-dimensional feature spaces and to data sets with an extremely large number of data points. It presents as unified a framework as possible under which existing research...

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Detalles Bibliográficos
Autor principal: Kulis, Brian
Lenguaje:eng
Publicado: Now Publishers 2013
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2762149
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author Kulis, Brian
author_facet Kulis, Brian
author_sort Kulis, Brian
collection CERN
description Metric Learning: A Review presents an overview of existing research in metric learning, including recent progress on scaling to high-dimensional feature spaces and to data sets with an extremely large number of data points. It presents as unified a framework as possible under which existing research on metric learning can be cast.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2013
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spelling cern-27621492021-04-21T16:39:15Zhttp://cds.cern.ch/record/2762149engKulis, BrianMetric learning: a surveyXXMetric Learning: A Review presents an overview of existing research in metric learning, including recent progress on scaling to high-dimensional feature spaces and to data sets with an extremely large number of data points. It presents as unified a framework as possible under which existing research on metric learning can be cast.Now Publishersoai:cds.cern.ch:27621492013
spellingShingle XX
Kulis, Brian
Metric learning: a survey
title Metric learning: a survey
title_full Metric learning: a survey
title_fullStr Metric learning: a survey
title_full_unstemmed Metric learning: a survey
title_short Metric learning: a survey
title_sort metric learning: a survey
topic XX
url http://cds.cern.ch/record/2762149
work_keys_str_mv AT kulisbrian metriclearningasurvey

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