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. Num Pages: 666 pages, black & white illustrations, black & white tables, figures. BIC Classification: PBT; UYQP. Category: (P) Professional & Vocational. Dimension: 242 x 168 x 36. Weight in Grams: 1090. . 2011. 3rd Edition. Paperback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verk�ufers V9780470682289

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Bibliografische Details

Titel: Statistical Pattern Recognition

Verlag: John Wiley & Sons Inc

Erscheinungsdatum: 2011

Einband: Softcover

Zustand: New

Auflage: 3. Auflage

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Inhaltsangabe:

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, 3^rd 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.

www.wiley.com/go/statistical_pattern_recognition

�ber die Autorin bzw. den Autor:

Dr Andrew Robert Webb, Senior Researcher, QinetiQ Ltd, Malvern, UK.

Dr Keith Derek Copsey, Senior Researcher, QinetiQ Ltd, Malvern, UK.

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