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 https://doi.org/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 3 - View on Scopus
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