Artículos de revistas
Visualizing And Interacting With Kernelized Data
Registro en:
Ieee Transactions On Visualization And Computer Graphics. Ieee Computer Soc, v. 22, p. 1314 - 1325, 2016.
1077-2626
1941-0506
WOS:000370435700012
10.1109/TVCG.2015.2464797
Autor
Barbosa
A.; Paulovich
F. V.; Paiva
A.; Goldenstein
S.; Petronetto
F.; Nonato
L. G.
Institución
Resumen
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Kernel-based methods have experienced a substantial progress in the last years, tuning out an essential mechanism for data classification, clustering and pattern recognition. The effectiveness of kernel-based techniques, though, depends largely on the capability of the underlying kernel to properly embed data in the feature space associated to the kernel. However, visualizing how a kernel embeds the data in a feature space is not so straightforward, as the embedding map and the feature space are implicitly defined by the kernel. In this work, we present a novel technique to visualize the action of a kernel, that is, how the kernel embeds data into a high-dimensional feature space. The proposed methodology relies on a solid mathematical formulation to map kernelized data onto a visual space. Our approach is faster and more accurate than most existing methods while still allowing interactive manipulation of the projection layout, a game-changing trait that other kernel-based projection techniques do not have. 22 3 1314 1325 FAPESP [2011/22749-8, 2013/19760-5, 2014/09546-9] CNPq [302643/2013-3] CAPES Samsung Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)