@InCollection{BragaGoShCaPlPl:2015:NoMeRe,
               author = "Braga, Jose Renato Garcia and Gomes, Vitor Conrado Faria and 
                         Shiguemori, Elcio Hideki and Campos Velho, Haroldo Fraga de and 
                         Plaza, Antonio and Plaza, Javier",
                title = "Nonlinear method of reduction of dimensionality based on 
                         artificial neural network and hardware implementation",
            booktitle = "Integral methods in science and engineering: theoretical and 
                         computational advances",
            publisher = "Birkh{\"a}use",
                 year = "2015",
               editor = "Constanda, C. and Kirsch, A.",
                pages = "69--79",
              address = "New York (USA)",
             keywords = "Image classification, Associative neural network, Artificial 
                         neural network, MPCA: multi-particle collision algorithm, Neural 
                         network self-configuring.",
             abstract = "Hyper-spectral images present new applications, but they represent 
                         new challenges: data high dimension is one of them. Thus, it is 
                         important to develop new techniques for reducing the 
                         dimensionality of the data without loss of information. Therefore 
                         in this chapter, we conducted tests on a new dimensionality 
                         reduction method of data as well as its implementation in 
                         hardware.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                 isbn = "9783319167268",
                label = "lattes: 5142426481528206 4 BragaGoShCaPlPl:2015:NoMeRe",
             language = "en",
           targetfile = "[Christian_Constanda,_Andreas_Kirsch]_Integral_Met(b-ok.org).pdf",
                  url = "http://www.springer.com/us/book/9783319167268",
        urlaccessdate = "13 maio 2024"
}