Abstract
This talk will review recent advances in the kernel methods focusing on support vector machines (SVM) for pattern recognition. Topics discussed include the kernel design issue through the multi kernel approach and the optimization issue with emphasis on scalability and non convex cost functions.
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© 2010 Springer-Verlag Berlin Heidelberg
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Canu, S. (2010). Recent Advances in Kernel Machines. In: Bloch, I., Cesar, R.M. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2010. Lecture Notes in Computer Science, vol 6419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16687-7_1
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DOI: https://doi.org/10.1007/978-3-642-16687-7_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16686-0
Online ISBN: 978-3-642-16687-7
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