Summary
In recent years, machine learning and statistical modeling techniques have attracted extensive attention in image indexing and retrieval. In this chapter, we reviewed five machine learning and statistical modeling techniques to be used in the remaining of the book: a graph-theoretic clustering algorithm, Support Vector Machines, additive fuzzy systems, learning of additive fuzzy systems based on Support Vector Machines, and two-dimensional multi-resolution hidden Markov models.
You cannot teach a man anything; you can only help him find it within himself. —Galileo Galilei(1564–1642)
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© 2004 Kluwer Academic Publishers
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(2004). Machine Learning and Statistical Modeling. In: Machine Learning and Statistical Modeling Approaches to Image Retrieval. The Information Retrieval Series, vol 14. Springer, Boston, MA. https://doi.org/10.1007/1-4020-8035-2_3
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DOI: https://doi.org/10.1007/1-4020-8035-2_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4020-8034-0
Online ISBN: 978-1-4020-8035-7
eBook Packages: Springer Book Archive