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Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization

Detalles Bibliográficos
Autores principales: Minh, Hà Quang, Murino, Vittorio
Lenguaje:eng
Publicado: Springer 2016
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2230355
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author Minh, Hà Quang
Murino, Vittorio
author_facet Minh, Hà Quang
Murino, Vittorio
author_sort Minh, Hà Quang
collection CERN
id cern-2230355
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer
record_format invenio
spelling cern-22303552021-04-21T19:27:02Zhttp://cds.cern.ch/record/2230355engMinh, Hà QuangMurino, VittorioAlgorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimizationXXSpringeroai:cds.cern.ch:22303552016
spellingShingle XX
Minh, Hà Quang
Murino, Vittorio
Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
title Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
title_full Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
title_fullStr Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
title_full_unstemmed Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
title_short Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
title_sort algorithmic advances in riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
topic XX
url http://cds.cern.ch/record/2230355
work_keys_str_mv AT minhhaquang algorithmicadvancesinriemanniangeometryandapplicationsformachinelearningcomputervisionstatisticsandoptimization
AT murinovittorio algorithmicadvancesinriemanniangeometryandapplicationsformachinelearningcomputervisionstatisticsandoptimization