Abstract
Support vector data description (SVDD) has been widely used in pattern classification, however it does not provide high performance in brain-computer interface (BCI) classification problems since brain signals are noisy and chaotic. Brain data have distinct distributions and hence a hyper-sphere in SVDD could not well describe the data. We propose in this paper a multi-sphere approach to SVDD to have a better description for the brain data. We also propose a fuzzy clustering approach to optimize SVDD parameters. Experiments on the brain data set III for motor imagery problem in BCI Competition II were conducted to compare performance of SVDD and multi-sphere SVDD
Original language | English |
---|---|
Title of host publication | The 4th International Conference on Communications Electronics (ICCE) |
Editors | Nguyen Xuan Quynh, Jinwoo Park, Roberto D.Graglia |
Place of Publication | USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 318-321 |
Number of pages | 4 |
ISBN (Print) | 9781467324915 |
DOIs | |
Publication status | Published - 2012 |
Event | 4th International Conference on Communications & Electronics (ICCE) - Hue, Hue, Viet Nam Duration: 1 Aug 2012 → 3 Aug 2012 |
Conference
Conference | 4th International Conference on Communications & Electronics (ICCE) |
---|---|
Abbreviated title | ICCE 2012 |
Country/Territory | Viet Nam |
City | Hue |
Period | 1/08/12 → 3/08/12 |