242 pp. Tightly bound. Lower corners are lightly bumped. Boards show light shelf rubbing. Text is free of markings. No ownership markings. Published without dust jacket. First Edition / First Printing. 9,8,7,6,5,4,3,2,1.

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D�tails bibliographiques

Titre: Progress in Pattern Recognition
�diteur: Springer Verlag, New York, NY
Date de parution: 2007
Langue: anglais
ISBN � 10 chiffres: 1846289440
ISBN � 13 chiffres: 9781846289446
Reliure: Hardcover
�dition: 1st Edition
�tat de l'article: Good to Very Good
�tat de la jaquette: Published Without Dust Jacket

A propos de ce titre

Synopsis

Overview andGoals Pattern recognition has evolved as a mature field of data analysis and its practice involves decision making using a wide variety of machine learning tools. Over the last three decades, substantial advances have been made in the areas of classification, prediction, optimisation and planning algorithms. Inparticular, the advances made in the areas of non-linear classification, statistical pattern recognition, multi-objective optimisation, string matching and uncertainty management are notable. These advances have been triggered by the availability of cheap computing power which allows large quantities of data to be processed in a very short period of time, and therefore developed algorithms can be tested easily on real problems. The current focus of pattern recognition research and development is to take laboratory solutions to commercial applications. The main goal of this book is to provide researchers with some of the latest novel techniques in the area of pattern recognition, and to show the potential of such techniques on real problems. The book will provide an excellent background to pattern recognition students and researchers into latest algorithms for pattern matching, and classification and their practical applications for imaging and non-imaging applications. Organization and Features The book is organised in two parts. The first nine chapters of the book describe novel advances in the areas of graph matching, information fusion, data clustering and classification, feature extraction and decision making under uncertainty.

� propos de l?auteur

Professor Sameer Singh is Director of the Research School of Informatics, Loughborough University, UK, and serves as Editor-in-Chief of the Springer journal, Pattern Analysis and Applications

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