Learning highly efficient local image descriptors

Detalles Bibliográficos
Autor: Sfeir Malavé, Ghesn Daniel
Tipo de recurso: tesis de maestría
Fecha de publicación:2019
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:55889
Acceso en línea:https://oa.upm.es/55889/
Access Level:acceso abierto
Palabra clave:Computer Vision for smartphones
Feature descriptors extraction
Learned descriptors
Boosting
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repository_id_str
spelling Learning highly efficient local image descriptorsSfeir Malavé, Ghesn DanielComputer Vision for smartphonesFeature descriptors extractionLearned descriptorsBoostingBaumela Molina, Luis20192019-07-08master thesishttp://purl.org/coar/resource_type/c_bdccinfo:eu-repo/semantics/masterThesishttps://oa.upm.es/55889/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:558892026-06-21T12:45:07Z
dc.title.none.fl_str_mv Learning highly efficient local image descriptors
title Learning highly efficient local image descriptors
spellingShingle Learning highly efficient local image descriptors
Sfeir Malavé, Ghesn Daniel
Computer Vision for smartphones
Feature descriptors extraction
Learned descriptors
Boosting
title_short Learning highly efficient local image descriptors
title_full Learning highly efficient local image descriptors
title_fullStr Learning highly efficient local image descriptors
title_full_unstemmed Learning highly efficient local image descriptors
title_sort Learning highly efficient local image descriptors
dc.creator.none.fl_str_mv Sfeir Malavé, Ghesn Daniel
author Sfeir Malavé, Ghesn Daniel
author_facet Sfeir Malavé, Ghesn Daniel
author_role author
dc.contributor.none.fl_str_mv Baumela Molina, Luis
dc.subject.none.fl_str_mv Computer Vision for smartphones
Feature descriptors extraction
Learned descriptors
Boosting
topic Computer Vision for smartphones
Feature descriptors extraction
Learned descriptors
Boosting
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-07-08
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://oa.upm.es/55889/
url https://oa.upm.es/55889/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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