Tuesday 22 June 2010

Fundamentals of Pattern Recognition

Fundamentals of Pattern Recognition



Author: Monique Pavel
Edition:
Publisher: Marcel Dekker Inc
Binding: Hardcover
ISBN: 0824780256
Category: Programming
List Price: $ 115.00
Price: $ 115.00
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Fundamentals of Pattern Recognition (Pure and Applied Mathematics, Vol 124)



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. Programming books Fundamentals of Pattern Recognition pdf. 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. Download books Fundamentals of Pattern Recognition - An Introduction pdf via mediafire, 4shared, rapidshare.

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Price comparison for Fundamentals of Pattern Recognition, 9780824788834

Fundamentals of Pattern Recognition, 9780824788834
Price: $49.74
Fundamentals of Pattern Recognition, ISBN-13: 9780824788834, ISBN-10: 0824788834

Fundamentals of Pattern Recognition - An Introduction
Price: $102
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

Fundamentals of Pattern Recognition: 174 (Chapman & Hall/CRC Pure and Applied Mathematics)
Price: $63.98
"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 interconnectio

Fundamentals of Pattern Recognition: 174 (Chapman & Hall/CRC Pure and Applied Mathematics)
Price: $63.98
"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 interconnectio

Fundamentals of Pattern Recognition: 174 (Chapman & Hall/CRC Pure and Applied Mathematics)
Price: $63.98
"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 interconnectio



Download Fundamentals of Pattern Recognition


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. Download free Fundamentals of Pattern Recognition (Pure and Applied Mathematics, Vol 124) pdf

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