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Books > Medicine > Nursing & ancillary services > Biomedical engineering
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Pattern Theory - From representation to inference (Hardcover)
Loot Price: R4,848
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Pattern Theory - From representation to inference (Hardcover)
Expected to ship within 10 - 15 working days
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Pattern Theory 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 condition structure.
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. Chapters 10
and 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. 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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