Overview
- Recent results in applied pattern recognition
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 91)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become possible to apply pattern recognition techniques to new tasks characterized by tight real-time requirements (e.g., person identification) and/or high complexity of raw data (e.g., clustering trajectories of mobile objects). The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.
Editors and Affiliations
Bibliographic Information
Book Title: Applied Pattern Recognition
Editors: Horst Bunke, Abraham Kandel, Mark Last
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-76831-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-76830-2Published: 11 April 2008
Softcover ISBN: 978-3-642-09554-2Published: 23 November 2010
eBook ISBN: 978-3-540-76831-9Published: 28 February 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 246
Number of Illustrations: 59 b/w illustrations, 51 illustrations in colour
Topics: Mathematical and Computational Engineering, Pattern Recognition, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Applications of Mathematics