Fonte: Computer Graphics Forum. Nome do evento: Eurographics Conference on Visualization - EuroVis. Unidade: ICMC
Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
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PAIVA, José Gustavo S et al. Semi-supervised dimensionality reduction based on partial least squares for visual analysis of high dimensional data. Computer Graphics Forum. Malden: Blackwell Publishing. Disponível em: https://doi.org/10.1111/j.1467-8659.2012.03126.x. Acesso em: 01 nov. 2024. , 2012APA
Paiva, J. G. S., Schwartz, W. R., Pedrini, H., & Minghim, R. (2012). Semi-supervised dimensionality reduction based on partial least squares for visual analysis of high dimensional data. Computer Graphics Forum. Malden: Blackwell Publishing. doi:10.1111/j.1467-8659.2012.03126.xNLM
Paiva JGS, Schwartz WR, Pedrini H, Minghim R. Semi-supervised dimensionality reduction based on partial least squares for visual analysis of high dimensional data [Internet]. Computer Graphics Forum. 2012 ; 31( 3): 1345-1354.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1111/j.1467-8659.2012.03126.xVancouver
Paiva JGS, Schwartz WR, Pedrini H, Minghim R. Semi-supervised dimensionality reduction based on partial least squares for visual analysis of high dimensional data [Internet]. Computer Graphics Forum. 2012 ; 31( 3): 1345-1354.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1111/j.1467-8659.2012.03126.x