"…a fantastic book! The presentation...could not be better, and I recommend that future authors consider…this book as a role model." (Journal of Statistical Computation and Simulation, March 2006)
"...strongly recommended both as a professional reference and as a text for students..." (Technometrics, February 2002)
"...provides information needed to choose the most appropriate of 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 on Pattern Recognition can ignore this book, as it is the sort of book one 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 any serious student or worker in the field of pattern recognition." (Mathematical Reviews, Issue 2001k)
"...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles." (Zentralblatt MATH, Vol. 968, 2001/18)
"attractively presented and readable" (Journal of Classification, Vol.18, No.2 2001)
"The first edition of this book, published 30 years ago by Duda and Hart, has been a defining book for the field of Pattern Recognition. Stork has done a superb job of updating the book. He has undertaken a monumental task of sifting through 30 years of material in a rapidly growing field and presented another snapshot of the field, determining what will be of importance for the next 30 years and incorporating it into this second edition. The style is easy to read as in the original book and the statistical, mathematical material comes alive with many new illustrations. The end result is harmonious, leading the reader through many new topics..."
–Sargur N. Srihari, PhD, Director, Center for Excellence in Document Analysis and Recognition, Distinguished Professor, Department of Computer Science and Engineering, SUNY at Buffalo
Practitioners developing or investigating pattern recognition systems in such diverse application areas as speech recognition, optical character recognition, image processing, or signal analysis, often face the difficult task of having to decide among a bewildering array of available techniques. This unique text/professional reference provides the information you need to choose the most appropriate method for a given class of problems, presenting an in-depth, systematic account of the major topics in pattern recognition today. A new edition of a classic work that helped define the field for over a quarter century, this practical book updates and expands the original work, focusing on pattern classification and the immense progress it has experienced in recent years. Special features include:
NOTE: Computer Manual in MATLAB to Accompany Pattern Classification, 2e users access toolbox via ftp://ftp.wiley.com/public/sci_tech_med/pattern_classification/ (Note: Visitors will require a password from the Manual to access.)
I think an indicator of problems was the large number of errors in the first printing; large here is an understatement.
Duda's 'Pattern Classification' is an excellent book for an introduction to a range of the most powerful and popular machine learning methods.
I liked this book because it does a great job explaining the concepts and the reasoning behind the mathematical formulae.
the book is in a very good condition and
the content of it was very carefully written and include fundamental topics
Don't remember ordering this but I guess it was a good book for someone to use. Maybe it was a present for someone a long time ago.Published 8 months ago by david
This is a great reference for those who want to become experts in Pattern Recognition methods and apply it in Big Data, Signal analysis, and so on. Read morePublished 16 months ago by MARCO A COUTINHO
Lately, the number of good books on machine learning has been steadily increasing; my favorites include:
The Elements of Statistical Learning: Data Mining, Inference, and... Read more
background: taking a 400 level pattern recognition class as an undergrad
my biggest problem with this text is the lack of examples in the chapter and the HORRIBLE end of... Read more
what i get was a copy that is supposed to be sold in india etc. but not in us. it was the same book content-wise, but the cover, colors etc. were from very cheap material..Published on October 3, 2010 by Ekrem Kocaguneli
Seems a very good book. Could not tell what the little criticism was about. The author goes out of his way to explain and make it pertinet. Happy reading.Published on July 3, 2010 by wilkidan
The errata for this book is so extensive that it makes it unreadable. Better wait for the third edition.Published on November 8, 2009 by M. Abramson
My impression reading the book is that it was very carefully written. Don't speak too broad and too general but also include the fundamental topics with some examples. Read morePublished on May 28, 2009 by Vladislavs Dovgalecs