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@InProceedings{MeloAnge:2015:ReAuIn,
               author = "Melo, Jos{\'e} Leonardo dos Santos and Angelo, Michele 
                         F{\'u}lvia",
          affiliation = "PGCA - P{\'o}s-Gradua{\c{c}}{\~a}o em Computa{\c{c}}{\~a}o 
                         Aplicada, UEFS - Universidade Estadual de Feira de Santana and 
                         PGCA - P{\'o}s-Gradua{\c{c}}{\~a}o em Computa{\c{c}}{\~a}o 
                         Aplicada, UEFS - Universidade Estadual de Feira de Santana",
                title = "Reconhecimento Autom{\'a}tico do Inseto Diaphorina citri em 
                         Imagens de Microscopia",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Rios, Ricardo Araujo and Paiva, Afonso",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Citriculture, Yellow Sticky Traps, Diaphorina citri, Huanglongbing 
                         (HLB), Classification of Digital Images, Machine Learning.",
             abstract = "This paper presents a proposal for the use of computational 
                         approaches to image classification of insect Diaphorina citri, in 
                         microscopy, distinguishing it from other insects commonly found in 
                         citrus regions of Sao Paulo, Brazil. In addition, comparisons will 
                         be made between the approaches used and optimization of the 
                         proposed classifiers. Extractors local features invariant to 
                         rotation and scale will be used along with different approaches 
                         bag-of-features and will be classified as machine learning 
                         algorithms. This work is a significant step to enable the creation 
                         of computational systems that automate the important process of 
                         counting these insects.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3JRTTTP",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRTTTP",
           targetfile = "ID18_Sibgrapi_2015.pdf",
        urlaccessdate = "2021, Nov. 28"
}


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