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The conic-segmentation support vector machine - A target space method for multiclass classification

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.

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Abstract

Conference theme: Advances in computational intelligence

Item Type: Conference or Workshop Item (Paper)
ISBN: 9781467314893
Uncontrolled Keywords: Cone; Pattern recognition; Data Vector
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0802 Computation Theory and Mathematics
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 09 Aug 2015 23:43
Last Modified: 01 Aug 2019 06:30
URI: http://vuir.vu.edu.au/id/eprint/29018
DOI: https://doi.org/10.1109/IJCNN.2012.6252441
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Citations in Scopus: 2 - View on Scopus

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