Statistical Pattern Recognition

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9780470682289: Statistical Pattern Recognition
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"In the end I must add that this book is so appealing that I often found myself lost in the reading, pausing the overview of the manuscript in order to look more into some presented subject, and not being able to continue until I had finished seeing all about it." ( Zentralblatt MATH , 1 December 2012)

Reseña del editor:

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques.

This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples.

Statistical Pattern Recognition, 3rd Edition: * Provides a self-contained introduction to statistical pattern recognition. * Includes new material presenting the analysis of complex networks. * Introduces readers to methods for Bayesian density estimation. * Presents descriptions of new applications in biometrics, security, finance and condition monitoring. * Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications * Describes mathematically the range of statistical pattern recognition techniques. * Presents a variety of exercises including more extensive computer projects.

The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields.

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Andrew R. Webb, Keith Derek Copsey, Gavin Cawley
Editorial: John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470682280 ISBN 13: 9780470682289
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Descripción John Wiley and Sons Ltd, United States, 2011. Paperback. Estado de conservación: New. 3rd Revised edition. 242 x 166 mm. Language: English . Brand New Book. Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: * Provides a self-contained introduction to statistical pattern recognition. * Includes new material presenting the analysis of complex networks. * Introduces readers to methods for Bayesian density estimation. * Presents descriptions of new applications in biometrics, security, finance and condition monitoring. * Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications * Describes mathematically the range of statistical pattern recognition techniques. * Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. Nº de ref. de la librería AAH9780470682289

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Descripción Wileyand#8211;Blackwell, 2011. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9780470682289

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Andrew R. Webb, Keith Derek Copsey, Gavin Cawley
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Descripción John Wiley and Sons Ltd, United States, 2011. Paperback. Estado de conservación: New. 3rd Revised edition. 242 x 166 mm. Language: English . Brand New Book. Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: * Provides a self-contained introduction to statistical pattern recognition. * Includes new material presenting the analysis of complex networks. * Introduces readers to methods for Bayesian density estimation. * Presents descriptions of new applications in biometrics, security, finance and condition monitoring. * Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications * Describes mathematically the range of statistical pattern recognition techniques. * Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. Nº de ref. de la librería AAH9780470682289

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Descripción Estado de conservación: New. New. US edition. Perfect condition. Ship by express service to USA, Canada, Australia, France, Italy, UK, Germany and Netherland. Customer satisfaction our priority. Nº de ref. de la librería ABE-BOOK-37939

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Descripción 2011. Paperback. Estado de conservación: New. 3rd. 171mm x 244mm x 35mm. Paperback. Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very act.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 666 pages. 1.116. Nº de ref. de la librería 9780470682289

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