Abstract
This chapter presents the fundamentals of statistical pattern recognition and statistical learning. First, we present the general framework of a statistical pattern recognition system and discuss pattern representation and classification, two important components of such a system. Second, we introduce the concept of statistical learning and examine the three main approaches to statistical learning: supervised learning, semi-supervised learning, and unsupervised learning.
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© 2009 Springer-Verlag London Limited
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Zheng, N., Xue, J. (2009). Pattern Analysis and Statistical Learning. In: Statistical Learning and Pattern Analysis for Image and Video Processing. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84882-312-9_1
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DOI: https://doi.org/10.1007/978-1-84882-312-9_1
Publisher Name: Springer, London
Print ISBN: 978-1-84882-311-2
Online ISBN: 978-1-84882-312-9
eBook Packages: Computer ScienceComputer Science (R0)