Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition

Detalhes bibliográficos
Autor(a) principal: HELENA DE ALMEIDA MAIA
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=9750331
id BRCRIS_185153d928d93d09d1b666433e82f687
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
title Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
spellingShingle Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
Aprendizado Profundo
Deep Learning
HELENA DE ALMEIDA MAIA
title_short Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
title_full Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
title_fullStr Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
title_full_unstemmed Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
title_sort Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition
topic Aprendizado Profundo
Deep Learning
publishDate 2020
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9750331
author_role author
author HELENA DE ALMEIDA MAIA
author_facet HELENA DE ALMEIDA MAIA
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0942146941809337
dc.identifier.orcid.none.fl_str_mv https://orcid.org/0000000282539004
dc.contributor.advisor1.fl_str_mv HELIO PEDRINI
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/9600140904712115
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000-0003-0125-630X
dc.publisher.none.fl_str_mv UNIVERSIDADE ESTADUAL DE CAMPINAS
publisher.none.fl_str_mv UNIVERSIDADE ESTADUAL DE CAMPINAS
instname_str UNIVERSIDADE ESTADUAL DE CAMPINAS
dc.publisher.program.fl_str_mv CIÊNCIA DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv CIÊNCIA DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESVisual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action RecognitionVisual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action RecognitionVisual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action RecognitionVisual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action RecognitionVisual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action RecognitionVisual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action RecognitionVisual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action RecognitionAprendizado Profundo2020doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9750331authorHELENA DE ALMEIDA MAIAhttp://lattes.cnpq.br/0942146941809337https://orcid.org/0000000282539004HELIO PEDRINIhttp://lattes.cnpq.br/9600140904712115https://orcid.org/0000-0003-0125-630XUNIVERSIDADE ESTADUAL DE CAMPINASUNIVERSIDADE ESTADUAL DE CAMPINASUNIVERSIDADE ESTADUAL DE CAMPINASCIÊNCIA DA COMPUTAÇÃOCIÊNCIA DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv MAIA, HELENA DE ALMEIDA. Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition. 2020. Tese.
dc.identifier.citation.fl_str_mv MAIA, HELENA DE ALMEIDA. Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition. 2020. Tese.
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