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Statistical Pattern Recognition
Andrew R. Webb
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Description for Statistical Pattern Recognition
Hardcover. 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, Illustrations. BIC Classification: PBT; UYQP. Category: (P) Professional & Vocational. Dimension: 248 x 177 x 41. Weight in Grams: 1248.
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.
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 ... Read more
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.
www.wiley.com/go/statistical_pattern_recognition
Show LessProduct Details
Format
Hardback
Publication date
2011
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
666
Condition
New
Number of Pages
672
Place of Publication
New York, United States
ISBN
9780470682272
SKU
V9780470682272
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Andrew R. Webb
Dr Andrew Robert Webb, Senior Researcher, QinetiQ Ltd, Malvern, UK. Dr Keith Derek Copsey, Senior Researcher, QinetiQ Ltd, Malvern, UK.
Reviews for Statistical Pattern Recognition
“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)