Data Complexity in Pattern Recognition

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Release : 2006-12-22
Genre : Computers
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Book Rating : 725/5 ( reviews)

Data Complexity in Pattern Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Complexity in Pattern Recognition write by Mitra Basu. This book was released on 2006-12-22. Data Complexity in Pattern Recognition available in PDF, EPUB and Kindle. Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

Pattern Recognition

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Release : 2018-02-09
Genre : Technology & Engineering
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Book Rating : 838/5 ( reviews)

Pattern Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Recognition write by Wladyslaw Homenda. This book was released on 2018-02-09. Pattern Recognition available in PDF, EPUB and Kindle. A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data—its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes Introduces the concept of granules and provides a framework for granular computing Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.

Pattern Recognition Algorithms for Data Mining

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Release : 2004-05-27
Genre : Computers
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Book Rating : 073/5 ( reviews)

Pattern Recognition Algorithms for Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Recognition Algorithms for Data Mining write by Sankar K. Pal. This book was released on 2004-05-27. Pattern Recognition Algorithms for Data Mining available in PDF, EPUB and Kindle. Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, me

Applied Pattern Recognition

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Release : 2009-09-02
Genre : Mathematics
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Book Rating : 024/5 ( reviews)

Applied Pattern Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Pattern Recognition write by Horst Bunke. This book was released on 2009-09-02. Applied Pattern Recognition available in PDF, EPUB and Kindle. 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.

A Probabilistic Theory of Pattern Recognition

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Release : 2013-11-27
Genre : Mathematics
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Book Rating : 118/5 ( reviews)

A Probabilistic Theory of Pattern Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Probabilistic Theory of Pattern Recognition write by Luc Devroye. This book was released on 2013-11-27. A Probabilistic Theory of Pattern Recognition available in PDF, EPUB and Kindle. 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.