The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics, Features, learning and classifiers, Image processing and computer vision, Knowledge acquisition based on reasoning methodsMedical applications, Miscellaneous applications,
This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics.
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The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics, Features, learning and classifiers, Image processing and computer vision, Knowledge acquisition based on reasoning methodsMedical applications, Miscellaneous applications,
This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Advances in Intelligent and Soft Computing, 95 |
Release date | April 2011 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2011 |
Editors | Robert Burduk, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek |
Dimensions | 235 x 155 x 41mm (L x W x T) |
Format | Paperback |
Pages | 782 |
Edition | 2011 ed. |
ISBN-13 | 978-3-642-20319-0 |
Barcode | 9783642203190 |
Categories | |
LSN | 3-642-20319-1 |