@InProceedings{InabaSallRaub:2011:KeSaMa,
author = "Inaba, Fernando K. and Salles, Evandro O. T. and Rauber, Thomas
W.",
affiliation = "Departamento de Engenharia El{\'e}trica, Centro Tecnol{\'o}gico,
Universidade Federal do Esp{\'{\i}}rito Santo and Departamento
de Engenharia El{\'e}trica, Centro Tecnol{\'o}gico, Universidade
Federal do Esp{\'{\i}}rito Santo and Departamento de
Inform{\'a}tica, Centro Tecnol{\'o}gico, Universidade Federal do
Esp{\'{\i}}rito Santo",
title = "Kernel Sammon Map",
booktitle = "Proceedings...",
year = "2011",
editor = "Lewiner, Thomas and Torres, Ricardo",
organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Sammon map, Hilbert feature space, Kernels, Visualization, Kernel
Principal Component Analysis.",
abstract = "We extend the visualization technique of highdimensional patterns
conceived by Sammon to the case when the patterns have been
previously mapped to an implicitly defined Hilbert feature space
in which distances can be measured by kernels. The principal
benefit of our technique is the possibility to gain insight into
the distribution of the patterns, even in this generally
non-accessible feature space.",
conference-location = "Macei{\'o}, AL, Brazil",
conference-year = "28-31 Aug. 2011",
doi = "10.1109/SIBGRAPI.2011.22",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2011.22",
language = "en",
ibi = "8JMKD3MGPBW34M/3A32SBH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3A32SBH",
targetfile = "86588.pdf",
urlaccessdate = "2024, Apr. 30"
}