Abstract
This paper presents the Quaternion Support Vector Machines for classification as a generalization of the real- and complex- valued Support Vector Machines. In this framework we handle the design of kernels involving the Clifford or quaternion product. The QSVM allows to change the metric involved in the quaternion product. The application section shows experiments in pattern recognition and colour image processing.
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© 2014 Springer International Publishing Switzerland
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López-González, G., Arana-Daniel, N., Bayro-Corrochano, E. (2014). Quaternion Support Vector Classifier. In: Bayro-Corrochano, E., Hancock, E. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2014. Lecture Notes in Computer Science, vol 8827. Springer, Cham. https://doi.org/10.1007/978-3-319-12568-8_88
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DOI: https://doi.org/10.1007/978-3-319-12568-8_88
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12567-1
Online ISBN: 978-3-319-12568-8
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