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dc.date.accessioned 2016-10-13T16:02:08Z
dc.date.available 2016-10-13T16:02:08Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/10915/55787
dc.description.abstract 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. en
dc.format.extent p. 241-250 es
dc.language pt es
dc.title Estudo e implementação de técnicas para identificação de anuros em imagem pt
dc.type Objeto de conferencia es
sedici.creator.person Queiroz, Angélica Larissa M. es
sedici.creator.person Silva, César Alberto da es
sedici.creator.person Jubileu, Andrea Padovan es
sedici.creator.person Ruiz, Linnyer Beatrys es
sedici.description.note XIV Workshop Computación Gráfica, Imágenes y Visualización (WCGIV). es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.other recognition en
sedici.subject.other frog en
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2016-10
sedici.relation.event XXII Congreso Argentino de Ciencias de la Computación (CACIC 2016). es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Segmentation es
sedici.subject.acmcss98 Patterns es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/55718 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)