- Hardcover: 680 pages
- Publisher: Wiley-Interscience; 2 edition (November 9, 2000)
- Language: English
- ISBN-10: 0471056693
- ISBN-13: 978-0471056690
- Product Dimensions: 7.1 x 1.3 x 10.1 inches
- Shipping Weight: 2.9 pounds (View shipping rates and policies)
- Average Customer Review: 45 customer reviews
- Amazon Best Sellers Rank: #781,291 in Books (See Top 100 in Books)
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Pattern Classification (Pt.1) 2nd Edition
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"…it provides a good introduction to the subject of PatternClassification." (Journal of Classification, September 2007)
"…a fantastic book! The presentation...could not bebetter, and I recommend that future authors consider…thisbook as a role model." (Journal of Statistical Computation andSimulation, March 2006)
"...strongly recommended both as a professional reference and asa text for students..." (Technometrics, February 2002)
"...provides information needed to choose the most appropriateof the many available technique for a given class of problems."(SciTech Book News, Vol. 25, No. 2, June 2001)
"I do not believe anybody wishing to teach or do serious work onPattern Recognition can ignore this book, as it is the sort of bookone wishes to find the time to read from cover to cover!"(Pattern Analysis & Applications Journal, 2001)
"This book is the unique text/professional reference for anyserious student or worker in the field of pattern recognition."(Mathematical Reviews, Issue 2001k)
"...gives a systematic overview about the major topics inpattern recognition, based whenever possible on fundamentalprinciples." (Zentralblatt MATH, Vol. 968, 2001/18)
"attractively presented and readable" (Journal ofClassification, Vol.18, No.2 2001)
From the Back Cover
From the reviews . . .
"The first edition of this book, published 30 years ago by Dudaand Hart, has been a defining book for the field of PatternRecognition. Stork has done a superb job of updating the book. Hehas undertaken a monumental task of sifting through 30 years ofmaterial in a rapidly growing field and presented another snapshotof the field, determining what will be of importance for the next30 years and incorporating it into this second edition. The styleis easy to read as in the original book and the statistical,mathematical material comes alive with many new illustrations. Theend result is harmonious, leading the reader through many newtopics..."
–Sargur N. Srihari, PhD, Director, Center for Excellence inDocument Analysis and Recognition, Distinguished Professor,Department of Computer Science and Engineering, SUNY at Buffalo
Practitioners developing or investigating pattern recognitionsystems in such diverse application areas as speech recognition,optical character recognition, image processing, or signalanalysis, often face the difficult task of having to decide among abewildering array of available techniques. This uniquetext/professional reference provides the information you need tochoose the most appropriate method for a given class of problems,presenting an in-depth, systematic account of the major topics inpattern recognition today. A new edition of a classic work thathelped define the field for over a quarter century, this practicalbook updates and expands the original work, focusing on patternclassification and the immense progress it has experienced inrecent years. Special features include:
- Clear explanations of both classical and new methods, includingneural networks, stochastic methods, genetic algorithms, and theoryof learning
- Over 350 high-quality, two-color illustrations highlightingvarious concepts
- Numerous worked examples
- Pseudocode for pattern recognition algorithms
- Expanded problems, keyed specifically to the text
- Complete exercises, linked to the text
- Algorithms to explain specific pattern-recognition and learningtechniques
- Historical remarks and important references at the end ofchapters
- Appendices covering the necessary mathematical background
NOTE: Computer Manual in MATLAB to Accompany PatternClassification, 2e users access toolbox viaftp://ftp.wiley.com/public/sci_tech_med/pattern_classification/(Note: Visitors will require a password from the Manual toaccess.)
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For one the Homework Problems it provides are not really representative of what you're learning in the text. Almost all of the problems revolve around proofs, as opposed to using the concepts in practice. You can seemingly have a good grasp on the material, yet spend hours trying to solve each of the problems they provide for that particular section. My entire class has complained, and even my professor has admitted that even he isn't sure sometimes how they expect you to solve some of the problems.
Secondly, there are very few example problems demonstrated in the text, so the reader doesn't really get to see the concepts in action so to speak.
Also, there is a typo or error on almost every other page, sometimes even on important formulas.
Overall, I'd have to think there are better books out there. If this truly is "the best there is" as some reviewers claim, God help the field of Pattern Recognition.