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Applied Pattern Recognition

Author : Dietrich W.R. Paulus

Publisher : Morgan Kaufmann Publishers

Page : 430 pages

File Size : 37,89 MB

Release : 1998

Category : Computers

ISBN :

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Book Description

This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. It introduces the basics of software engineering, image and speech processing, als well as fundamental mathematical tools for pattern recognition. Step by step the C++ programming language is discribed. Each step is illustrated by examples based on challenging problems in image und speech processing. Particular emphasis is put on object-oriented programming and the implementation of efficient algorithms. The book proposes a general class hierarchy for image segmentation. The essential parts of an implementation are presented. An object-oriented system for speech classification based on stochastic models is described.



A Probabilistic Theory of Pattern Recognition

Author : Luc Devroye

Publisher : Springer Science & Business Media

Page : 631 pages

File Size : 10,55 MB

Release : 2013-11-27

Category : Mathematics

ISBN : 1461207118

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Book Description

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.



Pattern Recognition Techniques Applied to Biomedical Problems

Author : Martha Refugio Ortiz-Posadas

Publisher : Springer Nature

Page : 227 pages

File Size : 19,48 MB

Release : 2020-02-29

Category : Mathematics

ISBN : 3030380211

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Book Description

This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on—but not limited to—pattern recognition modeling of biomedical signals and images. Multidisciplinary by definition, the book’s topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes. In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied. Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.



Pattern Recognition Applications in Engineering

Author : Burgos, Diego Alexander Tibaduiza

Publisher : IGI Global

Page : 357 pages

File Size : 46,66 MB

Release : 2019-12-27

Category : Computers

ISBN : 1799818411

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Book Description

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.



Applied Pattern Recognition

Author : Horst Bunke

Publisher : Springer

Page : 251 pages

File Size : 22,14 MB

Release : 2008-02-28

Category : Technology & Engineering

ISBN : 3540768319

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Book Description

A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period. Consequently, it has become possible to apply pattern recognition techniques to new tasks. The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.



Pattern Recognition in Speech and Language Processing

Author : Wu Chou

Publisher : CRC Press

Page : 413 pages

File Size : 41,14 MB

Release : 2003-02-26

Category : Technology & Engineering

ISBN : 0203010523

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Book Description

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Reco



Pattern Recognition

Author : J.P. Marques de Sá

Publisher : Springer Science & Business Media

Page : 331 pages

File Size : 43,34 MB

Release : 2012-12-06

Category : Computers

ISBN : 3642566510

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Book Description

The book provides a comprehensive view of pattern recognition concepts and methods, illustrated with real-life applications in several areas. A CD-ROM offered with the book includes datasets and software tools, making it easier to follow in a hands-on fashion, right from the start.



Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Author : Chi Hau Chen

Publisher : World Scientific

Page : 1045 pages

File Size : 23,23 MB

Release : 1999-03-12

Category : Computers

ISBN : 9814497649

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Book Description

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.



Applied Pattern Recognition

Author : Dietrich Paulus

Publisher : Springer Science & Business Media

Page : 390 pages

File Size : 28,25 MB

Release : 2003-02-25

Category : Technology & Engineering

ISBN : 9783528355586

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Book Description

This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. For this 4th edition, new features of the C++ language were integrated and their relevance for image and speech processing is discussed.



Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Alvaro Pardo

Publisher : Springer

Page : 795 pages

File Size : 27,86 MB

Release : 2015-10-24

Category : Computers

ISBN : 331925751X

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Book Description

This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.