Pattern Recognition [Hardcover]

Sergios Theodoridis (Author), Konstantinos Koutroumbas (Editor)

Book Description

Publication Date: November 16, 1998 | ISBN-10: 0126861404 | ISBN-13: 978-0126861402 | Edition: 1st

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. This volume's unifying treatment covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. It includes discussion of the latest techniques in wavelets, wavelet packets, and fractals. This book presents cutting-edge material on neural networks, and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.



Key Features
* Covers the entire spectrum of pattern recognition applications
* Includes discussion of the latest techniques in wavelets, wavelet packets, and fractals
* Presents cutting-edge material on neural networks
* Enhances student motivation
* Approaches pattern recognition from the designer's point of view

Editorial Reviews

Review

"The book is written in a very readable, no-nonsense style. I found that there was just the right amount of text to describe a concept, without extraneous verbiage. The same is true for the mathematics, enough for description, not too much to overwhelm."
Larry O'Gorman, IAPR Newsletter, April 2006 --This text refers to an out of print or unavailable edition of this title.

Book Description

A classic that offers comprehensive coverage with a balance between theory and practice. --This text refers to an out of print or unavailable edition of this title.

See all Editorial Reviews

Product Details

• Hardcover: 625 pages
• Publisher: Academic Press; 1st edition (November 16, 1998)
• Language: English
• ISBN-10: 0126861404
• ISBN-13: 978-0126861402
• Product Dimensions: 9.3 x 6.1 x 1.4 inches
• Shipping Weight: 2.3 pounds
• Average Customer Review: 4.2 out of 5 stars  See all reviews (13 customer reviews)
• Amazon Best Sellers Rank: #895,058 in Books (See Top 100 in Books)

More About the Author

Sergios Theodoridis is currently Professor of Signal Processing and Communications in the Department of Informatics and Telecommunications of the University of Athens.

His research interests lie in the areas of Adaptive Algorithms and Communications, Machine Learning and Pattern Recognition, Signal Processing for Audio Processing and Retrieval.

His general interests lie in the areas of listening to music, enjoying the company of good friends and arguing with his students.

He is the co-editor of the book "Efficient Algorithms for Signal Processing and System Identification", Prentice Hall 1993, the co-author of the best selling book "Pattern Recognition", Academic Press, 4th ed. 2008, the co-author of the book "Introduction to Pattern Recognition: A MATLAB Approach", Academic Press, 2009, and the co-author of three books in Greek, two of them for the Greek Open University.

He is the co-author of four papers that have received best paper awards including the 2009 IEEE Computational Intelligence Society Transactions on Neural Networks Outstanding Paper Award. He currently serves as an IEEE Signal Processing Society Distinguished Lecturer.

He is currently an Associate Editor of the IEEE Transactions on Neural Networks. He has served in the past as an AE of the IEEE Transactions on Signal Processing, the IEEE Signal Processing Magazine, IEEE Transactions on Circuits and Systems and a member of the editorial boards of the EURASIP Journal on Wireless Communications and Networking, the EURASIP Journal on Signal Processing and the EURASIP Journal on Advances on Signal Processing.

He was the general chairman of EUSIPCO-98, the Technical Program co-chair for ISCAS-2006 and co-chairman of CIP-2008. He has served as President of the European Association for Signal Processing (EURASIP) and he is currently a member of the Board of Governors for the IEEE CAS Society.

He is a member of the Greek National Council for Research and Technology and Chairman of the SP advisory committee for the Edinburgh Research Partnership (ERP). He has served as vice chairman of the Greek Pedagogical Institute and he was for four years member of the Board of Directors of COSMOTE (the Greek mobile phone operating company). He is Fellow of IET, a Corresponding Fellow of FRSE and a Fellow of IEEE.

Customer Reviews

Most Helpful Customer Reviews

7 of 7 people found the following review helpful:

5.0 out of 5 stars A good book to learn the subject, April 25, 2006

By 

L. Wang (Santa Barbara, CA) - See all my reviews
(REAL NAME)   

This review is from: Pattern Recognition (Hardcover)

I bought this book to teach my students on the subject. I am a professor in computer engineering and PR was not my research focus. However, there are many topics covered in this book, which have become more applicable in our area of research (VLSI design). We found this book easy to use. The algorithms are clearly described and my students could implement them easily by just reading the specific chapters we need. We think this is an excellent book to teach ourselves how to apply various PR algorithms in our domain.

21 of 26 people found the following review helpful:

5.0 out of 5 stars An excellent book for pattern recognition, September 14, 2000

By 

Todd Ebert (Long Beach California) - See all my reviews

This review is from: Pattern Recognition (Hardcover)

I think the authors provide a nice balance between theory and practice. On one hand, the algorithms presented can and are meant to be implemented for testing. On the other hand, the authors provide a fairly sound mathematical treatment of areas such as Markov Models, clustering, and template matching. Most important, the authors do not focus attention only on one type of problem (e.g. character recognition). Thus researchers from all walks of pattern recognition should get something out of this book.

Two big thumbs up!

6 of 6 people found the following review helpful:

5.0 out of 5 stars Pattern Recognition, June 24, 2006

By 

Edward J. Ciaccio (New York, NY) - See all my reviews
(REAL NAME)   

This review is from: Pattern Recognition, Third Edition (Hardcover)

Professor Theodoridis has written an exciting new book on pattern recognition. The topic is sometimes neglected, particularly in the fields of biomedical and electrical engineering, but it is essential to the understanding of signal and image shape on a mathematical basis, including similarities and differences in shape as well as how to extract, recognize, and measure the important components. Professor Theodoridis covers all of the classic steps in pattern recognition in great detail and in a readily understood fashion: sensors and pattern extraction, features extraction and selection, clustering, classification, supervised and unsupervised recognition, and evaluation of the system. Each section is backed up with computer simulation examples so that the reader can gain practical experience while reading the book. The author discusses essential concepts for computer programming of the pattern recognition techniques that are discussed. This work is necessarily mathematical, and therefore will tend to be of greatest interest to advanced students and practicing engineers in a variety of fields. Biomedical engineering is a rapidly expanding field that is key to the improvement of health care quality. There are plenty of biomedical examples including those in the section of the book on computer-aided diagnosis, such as for the detection of cancerous lesions in x-ray mammography. The section on speech recognition will be useful to engineers who are designing turnkey pattern recognition systems that include speech recognition as input and/or for use as a security key. Also included in the work are the most recently developed topics of interest including fuzzy clustering algorithms, and neural networks using genetic and annealing methods. This comprehensive work should prove to be an invaluable tool for the library of design engineers who work with signals and images. I heartily recommend it to all with a basic engineering background.

Edward Ciaccio, PhD

Assoc. Professor of Biomedical Engineering

Columbia University in New York