Printed

Statistical Pattern Recognition

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- 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 bio-
metrics, security, finance,& condition monitoring
- Provides descriptions and guidance for implemen-
ting techniques, which will be invaluable to
software engineers and developers seeking to
develop real applications.
- Describes mathematically the range of statisti-
cal pattern recognition techniques.
- Presents a variety of exercises including more
extensive computer projects.

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 3rd 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.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.4 WEB s

Penerbit

New Delhi : Wiley., 2011

Deskripsi Fisik

xvii, 642 hal. : ilus. ; 25 cm

Bahasa

English

ISBN/ISSN

978-0470682289

Klasifikasi

006.3

Tipe Isi

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Tipe Media

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Tipe Pembawa

-

Edisi

3

Subjek

Komputer

Info Detail Spesifik

Mathematics & Data Analysis

Pernyataan Tanggungjawab

-

Versi lain/terkait

Lampiran Berkas

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