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Pattern Theory - From representation to inference (Paperback)
Loot Price: R4,637
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Pattern Theory - From representation to inference (Paperback)
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Pattern Theory: From Representation to Inference provides a
comprehensive and accessible overview of the modern challenges in
signal, data and pattern analysis in speech recognition,
computational linguistics, image analysis and computer vision.
Aimed at graduate students in biomedical engineering, mathematics,
computer science and electrical engineering with a good background
in mathematics and probability, the text includes numerous
exercises and an extensive bibliography. Additional resources
including extended proofs, selected solutions and examples are
available on a companion website. The book commences with a short
overview of pattern theory and the basics of statistics and
estimation theory. Chapters 3-6 discuss the role of representation
of patterns via conditioning structure and Chapters 7 and 8 examine
the second central component of pattern theory: groups of geometric
transformation applied to the representation of geometric objects.
Chapter 9 moves into probabilistic structures in the continuum,
studying random processes and random fields indexed over subsets of
Rn, and Chapters 10, 11 continue with transformations and patterns
indexed over the continuum. Chapters 12-14 extend from the pure
representations of shapes to the Bayes estimation of shapes and
their parametric representation. Chapters 15 and 16 study the
estimation of infinite dimensional shape in the newly emergent
field of Computational Anatomy, and finally Chapters 17 and 18 look
at inference, exploring random sampling approaches for estimation
of model order and parametric representing of shapes.
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