Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. This volume's treatment covers 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 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.
- Hardback | 752 pages
- 156 x 236 x 36mm | 1,038.72g
- 01 Oct 1998
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
- b&w illustrations
Table of contents
Introduction. Classifiers Based on Bayes Decision Theory. Linear Classifiers. Non Linear Classifiers. Feature Selection. Feature Generation I: Linear Transforms.. Feature Generation II. Template Matching. Context Dependent Classification. System Evaluation. Clustering: Basic Concepts. Clustering Algorithms I: Sequential Algorithms. Clustering Algorithms II: Hierarchical Algorithms. Clustering Algorithms III: Schemes Based on Function Optimization. Clustering Algorithms IV. Cluster Validity. Appendices.
About Dr. Sergios Theodoridis
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, U.K. 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, U.K., 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.