Fundamentals of pattern recognition
Author(s)
Bibliographic Information
Fundamentals of pattern recognition
（Monographs and textbooks in pure and applied mathematics, 174）
M. Dekker, c1993
2nd ed., rev. and expanded
Available at / 51 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
dc20:003.52/p2882070256192
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Note
Includes bibliographical references and index
Description and Table of Contents
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.
Table of Contents
- The fundamental problem of pattern recognition
- images, fibre images and shapes - the topological framework
- objects or images structures or patterns, classification and recognition - the structural or syntactic framework
- general formalization of the pattern recognition problem - the categorical framework.
by "Nielsen BookData"
