Estudo e implementação de técnicas para identificação de anuros em imagem
- Autores
- Queiroz, Angélica Larissa M.; Silva, César Alberto da; Jubileu, Andrea Padovan; Ruiz, Linnyer Beatrys
- Año de publicación
- 2016
- Idioma
- portugués
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree.
XIV Workshop Computación Gráfica, Imágenes y Visualización (WCGIV).
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Segmentation
Patterns
recognition
frog - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/55787
Ver los metadatos del registro completo
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Estudo e implementação de técnicas para identificação de anuros em imagemQueiroz, Angélica Larissa M.Silva, César Alberto daJubileu, Andrea PadovanRuiz, Linnyer BeatrysCiencias InformáticasSegmentationPatternsrecognitionfrogThis paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree.XIV Workshop Computación Gráfica, Imágenes y Visualización (WCGIV).Red de Universidades con Carreras en Informática (RedUNCI)2016-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf241-250http://sedici.unlp.edu.ar/handle/10915/55787info:eu-repo/semantics/reference/hdl/10915/55718info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)porreponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:58:22Zoai:sedici.unlp.edu.ar:10915/55787Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:58:22.668SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Estudo e implementação de técnicas para identificação de anuros em imagem |
title |
Estudo e implementação de técnicas para identificação de anuros em imagem |
spellingShingle |
Estudo e implementação de técnicas para identificação de anuros em imagem Queiroz, Angélica Larissa M. Ciencias Informáticas Segmentation Patterns recognition frog |
title_short |
Estudo e implementação de técnicas para identificação de anuros em imagem |
title_full |
Estudo e implementação de técnicas para identificação de anuros em imagem |
title_fullStr |
Estudo e implementação de técnicas para identificação de anuros em imagem |
title_full_unstemmed |
Estudo e implementação de técnicas para identificação de anuros em imagem |
title_sort |
Estudo e implementação de técnicas para identificação de anuros em imagem |
dc.creator.none.fl_str_mv |
Queiroz, Angélica Larissa M. Silva, César Alberto da Jubileu, Andrea Padovan Ruiz, Linnyer Beatrys |
author |
Queiroz, Angélica Larissa M. |
author_facet |
Queiroz, Angélica Larissa M. Silva, César Alberto da Jubileu, Andrea Padovan Ruiz, Linnyer Beatrys |
author_role |
author |
author2 |
Silva, César Alberto da Jubileu, Andrea Padovan Ruiz, Linnyer Beatrys |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Segmentation Patterns recognition frog |
topic |
Ciencias Informáticas Segmentation Patterns recognition frog |
dc.description.none.fl_txt_mv |
This paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree. XIV Workshop Computación Gráfica, Imágenes y Visualización (WCGIV). Red de Universidades con Carreras en Informática (RedUNCI) |
description |
This paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/55787 |
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por |
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dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 241-250 |
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