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Monique L. Pavel : Fundamentals of Pattern Recognition (Pure and Applied Mathematics)
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Author: Monique L. Pavel
Title: Fundamentals of Pattern Recognition (Pure and Applied Mathematics)
Moochable copies: No copies available
Topics:
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Published in: English
Binding: Hardcover
Pages: 272
Date: 1993-02-24
ISBN: 0824788834
Publisher: Marcel Dekker, Inc.
Weight: 1.3 pounds
Size: 6.2 x 8.9 x 0.9 inches
Edition: 2 Revised & enlarged
Amazon prices:
$34.97used
$50.00new
Description: Product Description
Revised, updated, and expanded throughout, this edition of Fundamentals of Pattern Recognition addresses the field of PR from a basic mathematical view-point - treating algebraic, topological, and categorical approaches of PR using concepts from homotopy, shape, and fibre spaces theories as well as computational topology.;Maintaining the features of the first edition, this resource: provides a new section on fibrewise topology that formalizes, for the first time, multicoloured, different gray level pictures and other complex signals consisting of base and value spaces and their interconnections; explores new artificial intelligence problems on the possible interplay between recursion theory and fibrewise image topology in connection with effectiveness and decidability problems; develops original techniques and results, such as the study of extremely irregular shapes by means of the mathematical theory of shape, finite topological spaces, and category theory's applications to PR; exhibits new figures of panoramic hierarchical classifications of all mathematical approaches to PR discussed; and presents five appendices that give quick overviews of dominant concepts in PR and related fields.;Containing open research and development problems to reinforce important methodologies, this second edition of Fundamentals of Pattern Recognition is a guide for applied mathematicians; electrical and electronics, systems, and computer engineers; computer scientists; and upper-level undergraduate and graduate students in applied mathematics and computer science courses in pattern recognition theory and artificial intelligence.
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