Pattern recognition is becoming increasingly important in the age of automation and information handling and retrieval.
This book provides the most comprehensive treatment available of pattern recognition, from an engineering perspective. Developed through more than ten years of teaching experience, Pattern Recognition is appropriate for both advanced engineering students and practicing engineers.
· Feature generation, including features based on Wavelet Transforms and Fractals.
· Feature selection techniques.
· Design of linear and non linear classifiers, including Bayesian, Multilayer Perceptrons, and RBF networks
. Context-dependent classification, including Dynamic Programming and Hidden Markov Modeling techniques
. Classical approaches, as well as more recent developments in clustering algorithms, such as fuzzy, possibilistic, morphological, genetic, and annealing techniques
. Coverage of numerous, diverse applications, including Image Analysis, Character Recognition, Medical Diagnosis, Speech Recognition, and Channel Equalization
. Numerous computer simulation examples, supporting the methods given in the book, available via the Webb. --This text refers to an out of print or unavailable edition of this title.
About the Author
Sergios Theodoridis holds a physics degree from Athens University and an M.Sc. and a Ph.D. degree in electronics and electrical engineering from the University of Birmingham, UK He is currently with the Department of Informatics, University of Athens. His research interests lie in the areas of adaptive signal processing, communications, and pattern recognition. Theodoridis has published more than 40 papers in journals and more than 50 refereed conference papers, and he is the coeditor of Adaptive System Identification and Signal Processing Algorithms. Theodoridis was General Chairman for EUSIPCO 98 and Organizing Chairman of PARPLE 1995, plus he has served as an Associate Editor for IEEE Transactions on Signal Processing. He has held various consultancy posts both in Industry and the Greek Government, and he has participated in a number of European Union funded projects.
Konstantinos Koustroumbas holds a computer engineering degree from the University of Patras, an M.Sc. degree from the University of London, UK, and a Ph.D. from Athens University. His research interests lie in the area of neural networks and pattern recognition. Koustroumbas is currently with the Hellenic Telecommunications Organization.