A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings

Detalhes bibliográficos
Autor(a) principal: LUCAS MAY PETRY
Data de Publicação: 2020
Tipo de documento: Dissertação
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=9255124
id BRCRIS_a82614e1f15705d6406183648de76ccb
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
title A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
spellingShingle A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
Geohash encoding
Codificação Geohash
LUCAS MAY PETRY
title_short A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
title_full A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
title_fullStr A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
title_full_unstemmed A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
title_sort A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings
topic Geohash encoding
Codificação Geohash
publishDate 2020
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9255124
author_role author
author LUCAS MAY PETRY
author_facet LUCAS MAY PETRY
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3223498701711774
dc.identifier.orcid.none.fl_str_mv https://orcid.org/0000-0003-1462-4538
dc.contributor.advisor1.fl_str_mv Vania Bogorny
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/9045199822095908
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000201594643
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE SANTA CATARINA
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE SANTA CATARINA
instname_str UNIVERSIDADE FEDERAL DE SANTA CATARINA
dc.publisher.program.fl_str_mv CIÊNCIAS DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv CIÊNCIAS DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESA Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic EmbeddingsA Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic EmbeddingsA Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic EmbeddingsA Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic EmbeddingsA Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic EmbeddingsA Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic EmbeddingsA Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic EmbeddingsGeohash encoding2020masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9255124authorLUCAS MAY PETRYhttp://lattes.cnpq.br/3223498701711774https://orcid.org/0000-0003-1462-4538Vania Bogornyhttp://lattes.cnpq.br/9045199822095908https://orcid.org/0000000201594643UNIVERSIDADE FEDERAL DE SANTA CATARINAUNIVERSIDADE FEDERAL DE SANTA CATARINAUNIVERSIDADE FEDERAL DE SANTA CATARINACIÊNCIAS DA COMPUTAÇÃOCIÊNCIAS DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv PETRY, LUCAS MAY. A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings. 2020. Tese.
dc.identifier.citation.fl_str_mv PETRY, LUCAS MAY. A Recurrent Neural Network Approach for Multiple-Aspect Trajectory Classification via Space, Time, and Semantic Embeddings. 2020. Tese.
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