The conic-segmentation support vector machine - A target space method for multiclass classification
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Shilton, A, Lai, Daniel 
ORCID: 0000-0003-3459-7709 and Palaniswami, M
(2012)
The conic-segmentation support vector machine - A target space method for multiclass classification.
In: IEEE World Congress on Computational Intelligence, 10 June 2012-15 June 2012, Brisbane, Queensland.
Abstract
Conference theme: Advances in computational intelligence
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/29018 |
| DOI | 10.1109/IJCNN.2012.6252441 |
| Official URL | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
| ISBN | 9781467314893 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0802 Computation Theory and Mathematics Current > Division/Research > College of Science and Engineering |
| Keywords | ResPubID25922; Cone; Pattern recognition; Data Vector |
| Citations in Scopus | 4 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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