Supervised Learning by Support Vector Machines

  • Steidl G
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Abstract

During the last two decades, support vector machine learning has become a very active field of research with a large amount of both sophisticated theoretical results and exciting real-world applications. This paper gives a brief introduction into the basic concepts of supervised support vector learning and touches some recent developments in this broad field.

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APA

Steidl, G. (2014). Supervised Learning by Support Vector Machines. In Handbook of Mathematical Methods in Imaging (pp. 1–54). Springer New York. https://doi.org/10.1007/978-3-642-27795-5_22-5

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