Statistical Pattern Recognition

Statistical Pattern Recognition
Author :
Publisher : John Wiley & Sons
Total Pages : 516
Release :
ISBN-10 : 9780470854785
ISBN-13 : 0470854782
Rating : 4/5 (782 Downloads)

Book Synopsis Statistical Pattern Recognition by : Andrew R. Webb

Download or read book Statistical Pattern Recognition written by Andrew R. Webb and published by John Wiley & Sons. This book was released on 2003-07-25 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as data mining, web searching,multimedia data retrieval, face recognition, and cursivehandwriting recognition - require robust and efficient patternrecognition techniques. Statistical decision making and estimationare regarded as fundamental to the study of pattern recognition. Statistical Pattern Recognition, Second Edition has been fullyupdated with new methods, applications and references. It providesa comprehensive introduction to this vibrant area - with materialdrawn from engineering, statistics, computer science and the socialsciences - and covers many application areas, such as databasedesign, artificial neural networks, and decision supportsystems. * Provides a self-contained introduction to statistical patternrecognition. * Each technique described is illustrated by real examples. * Covers Bayesian methods, neural networks, support vectormachines, and unsupervised classification. * Each section concludes with a description of the applicationsthat have been addressed and with further developments of thetheory. * Includes background material on dissimilarity, parameterestimation, data, linear algebra and probability. * Features a variety of exercises, from 'open-book' questions tomore lengthy projects. The book is aimed primarily at senior undergraduate and graduatestudents studying statistical pattern recognition, patternprocessing, neural networks, and data mining, in both statisticsand engineering departments. It is also an excellent source ofreference for technical professionals working in advancedinformation development environments. For further information on the techniques and applicationsdiscussed in this book please visit ahref="http://www.statistical-pattern-recognition.net/"www.statistical-pattern-recognition.net/a


Statistical Pattern Recognition Related Books

Statistical Pattern Recognition
Language: en
Pages: 516
Authors: Andrew R. Webb
Categories: Mathematics
Type: BOOK - Published: 2003-07-25 - Publisher: John Wiley & Sons

GET EBOOK

Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as
Neural Networks for Pattern Recognition
Language: en
Pages: 501
Authors: Christopher M. Bishop
Categories: Computers
Type: BOOK - Published: 1995-11-23 - Publisher: Oxford University Press

GET EBOOK

Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Par
Pattern Recognition and Neural Networks
Language: en
Pages: 422
Authors: Brian D. Ripley
Categories: Computers
Type: BOOK - Published: 1996-01-18 - Publisher: Cambridge University Press

GET EBOOK

This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.
A Statistical Approach to Neural Networks for Pattern Recognition
Language: en
Pages: 289
Authors: Robert A. Dunne
Categories: Mathematics
Type: BOOK - Published: 2007-07-20 - Publisher: John Wiley & Sons

GET EBOOK

An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Rec
From Statistics to Neural Networks
Language: en
Pages: 414
Authors: Vladimir Cherkassky
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, F