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Linear and Kernel Classifiers

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Geometry of Deep Learning

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

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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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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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