Features transfer learning between domains for image and video recognition tasks

Detalhes bibliográficos
Autor(a) principal: FERNANDO PEREIRA DOS SANTOS
Data de Publicação: 2020
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9086912
id BRCRIS_94cb4cf3cec77d37b565159b362d643e
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Features transfer learning between domains for image and video recognition tasks
title Features transfer learning between domains for image and video recognition tasks
spellingShingle Features transfer learning between domains for image and video recognition tasks
alinhamento de variedades
manifold alignment.
FERNANDO PEREIRA DOS SANTOS
title_short Features transfer learning between domains for image and video recognition tasks
title_full Features transfer learning between domains for image and video recognition tasks
title_fullStr Features transfer learning between domains for image and video recognition tasks
Features transfer learning between domains for image and video recognition tasks
title_full_unstemmed Features transfer learning between domains for image and video recognition tasks
Features transfer learning between domains for image and video recognition tasks
title_sort Features transfer learning between domains for image and video recognition tasks
topic alinhamento de variedades
manifold alignment.
publishDate 2020
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9086912
author_role author
author FERNANDO PEREIRA DOS SANTOS
author_facet FERNANDO PEREIRA DOS SANTOS
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9915767572403023
dc.identifier.orcid.none.fl_str_mv https://orcid.org/0000-0002-8213-9799
dc.contributor.advisor1.fl_str_mv MOACIR PEREIRA PONTI JÚNIOR
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5041497500746910
dc.publisher.none.fl_str_mv UNIVERSIDADE DE SÃO PAULO/SÃO CARLOS
publisher.none.fl_str_mv UNIVERSIDADE DE SÃO PAULO/SÃO CARLOS
instname_str UNIVERSIDADE DE SÃO PAULO/SÃO CARLOS
dc.publisher.program.fl_str_mv CIÊNCIAS DA COMPUTAÇÃO E MATEMÁTICA COMPUTACIONAL
dc.description.course.none.fl_txt_mv CIÊNCIAS DA COMPUTAÇÃO E MATEMÁTICA COMPUTACIONAL
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESFeatures transfer learning between domains for image and video recognition tasksFeatures transfer learning between domains for image and video recognition tasksFeatures transfer learning between domains for image and video recognition tasksFeatures transfer learning between domains for image and video recognition tasksFeatures transfer learning between domains for image and video recognition tasksFeatures transfer learning between domains for image and video recognition tasksFeatures transfer learning between domains for image and video recognition tasksalinhamento de variedades2020doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9086912authorFERNANDO PEREIRA DOS SANTOShttp://lattes.cnpq.br/9915767572403023https://orcid.org/0000-0002-8213-9799MOACIR PEREIRA PONTI JÚNIORhttp://lattes.cnpq.br/5041497500746910UNIVERSIDADE DE SÃO PAULO/SÃO CARLOSUNIVERSIDADE DE SÃO PAULO/SÃO CARLOSUNIVERSIDADE DE SÃO PAULO/SÃO CARLOSCIÊNCIAS DA COMPUTAÇÃO E MATEMÁTICA COMPUTACIONALCIÊNCIAS DA COMPUTAÇÃO E MATEMÁTICA COMPUTACIONALPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv SANTOS, FERNANDO PEREIRA DOS. Features transfer learning between domains for image and video recognition tasks. 2020. Tese.
dc.identifier.citation.fl_str_mv SANTOS, FERNANDO PEREIRA DOS. Features transfer learning between domains for image and video recognition tasks. 2020. Tese.
_version_ 1741885872736829440

Registros relacionados