| dc.date | 2016 | |
| dc.date | 2016-12-06T17:43:45Z | |
| dc.date | 2016-12-06T17:43:45Z | |
| dc.date.accessioned | 2018-03-29T02:00:32Z | |
| dc.date.available | 2018-03-29T02:00:32Z | |
| dc.identifier | | |
| dc.identifier | Ieee Transactions On Visualization And Computer Graphics. Ieee Computer Society, v. 22, p. 1314 - 1325, 2016. | |
| dc.identifier | 10772626 | |
| dc.identifier | 10.1109/TVCG.2015.2464797 | |
| dc.identifier | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962227058&partnerID=40&md5=c574b85b3a58c10aab4964a972ad4270 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/319389 | |
| dc.identifier | 2-s2.0-84962227058 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1310157 | |
| dc.description | 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. © 1995-2012 IEEE. | |
| dc.description | 22 | |
| dc.description | | |
| dc.description | 1314 | |
| dc.description | 1325 | |
| dc.description | | |
| dc.description | | |
| dc.language | en | |
| dc.publisher | IEEE Computer Society | |
| dc.relation | IEEE Transactions on Visualization and Computer Graphics | |
| dc.rights | fechado | |
| dc.source | Scopus | |
| dc.title | Visualizing And Interacting With Kernelized Data | |
| dc.type | Artículos de revistas | |
