Progress in Pattern Recognition

Singh, Sameer; Maneesha Singh

ISBN 10: 1846289440 / ISBN 13: 9781846289446

Editore: Springer Verlag, New York, NY, 2007

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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.

Codice articolo 031913

Dati bibliografici

• Titolo: Progress in Pattern Recognition
• Editore: Springer Verlag, New York, NY
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 1846289440
• ISBN 13: 9781846289446
• Rilegatura: Hardcover
• Edizione: 1st Edition
• Condizione: Good to Very Good
• Condizione della sovraccoperta: Published Without Dust Jacket

Descrizione articolo

Riassunto

This book features a collection of articles presented at the 2007 Workshop on Advances in Pattern Recognition, which was organized in conjunction with the 5th International Summer School on Pattern Recognition. It provides readers with the state-of-the-art algorithms in the area of pattern recognition as well as a presentation of the cutting edge applications within the field.

Dalla quarta di copertina

The field of pattern recognition has emerged as one of the most challenging and important endeavours in the area of information technology research. Research in the area of pattern recognition has benefits for improving many areas of human endeavour, including medicine, the economy, the environment, and security. This book presents some of the latest advances in the area of pattern recognition theory and applications.

The first half of the book discusses novel pattern classification and matching schemes, and the second half describes the application of novel tools in biometrics and digital multimedia. The applications included, such as face/iris recognition, handwriting recognition, surveillance, human dynamics, sensor fusion, etc., provide a detailed insight into how to build real pattern recognition systems and how to evaluate them. Given the dynamic nature of technology evolution in this area, this book provides the latest algorithms and concepts that can be used to build real systems.

Features and topics:

Provides state-of-the art algorithms, as well as presents cutting-edge applications within the field

Introduces achievements in theoretical pattern recognition, including statistical and Bayesian pattern recognition, structural pattern recognition, neural networks, classification and data mining, evolutionary approaches to optimisation, and knowledge based systems

Offers insights and support to practitioners concerned with the state-of-the art technology in the area

Progress in Pattern Recognition addresses the needs of postgraduate students, researchers, and practitioners in the areas of computer science, engineering and mathematics where pattern recognition techniques are widely used.

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