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Geometry of Deep Learning pp 29–44Cite as

Linear and Kernel Classifiers

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Part of the Mathematics in Industry book series (MATHINDUSTRY,volume 37)

Abstract

Classification is one of the most basic tasks in machine learning. In computer vision, an image classifier is designed to classify input images in corresponding categories. Although this task appears trivial to humans, there are considerable challenges with regard to automated classification by computer algorithms.

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Authors and Affiliations

  1. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

    Jong Chul Ye

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  1. Jong Chul Ye
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Ye, J.C. (2022). Linear and Kernel Classifiers. In: Geometry of Deep Learning. Mathematics in Industry, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-16-6046-7_2

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