Pattern recognition : concepts, methods, and applications

The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas. It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified an innovative way, with multiple examples enhacing the clarification of concepts and the application of methods. Recent methods and results in Pattern Recognition are also presented in a clear way. A CD-ROM offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start. Pattern recognition currently comprises a vast body of methods supporting the development of numerous applications in many different areas of activity. The generally recognized relevance of pattern recognition methods and techniques lies, for the most part, in the general trend of'intelligent'task emulation, which has definitely pervaded our daily life. Robot assisted manufacture, medical diagnostic systems, forecast of economic variables, exploration of Earth's resources, and analysis of satellite data are just a few examples of activity fields where this trend applies. The pervasiveness of pattern recognition has boosted the number of task­ specific methodologies and enriched the number of links with other disciplines. As counterbalance to this dispersive tendency there have been, more recently, new theoretical developments that are bridging together many of the classical pattern recognition methods and presenting a new perspective of their links and inner workings. This book has its origin in an introductory course on pattern recognition taught at the Electrical and Computer Engineering Department, Oporto University. From the initial core of this course, the book grew with the intent of presenting a comprehensive and articulated view of pattern recognition methods combined with the intent of clarifying practical issues with the aid of examples and applications to real-life data. The book is primarily addressed to undergraduate and graduate students attending pattern recognition courses of engineering and computer science curricula. Cover......Page 1 Preface......Page 4 Contents......Page 7 Symbols and Abbreviations......Page 12 1 Basic Notions......Page 15 Index......Page 325