Editors:
- Recent research in Computer Recognition Systems
- Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015
- Presents both methodological issues and different application areas of pattern recognition
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 403)
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Table of contents (79 papers)
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Front Matter
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Features, Learning and Classifiers
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Front Matter
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About this book
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 79 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:
- Features, learning, and classifiers
- Biometrics
- Data Stream Classification and Big Data Analytics
- Image processing and computer vision
- Medical applications
- 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 the as well researchers as students of computer science, artificial intelligence or robotics.
Editors and Affiliations
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Department of Systems, Wrocław University of Technology, Wroclaw, Poland
Robert Burduk, Andrzej Żołnierek
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Department of Systems and Computer, Wrocław University of Technology, Wroclaw, Poland
Konrad Jackowski, Marek Kurzyński
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Dept. of Systems and Computer Networks, Wrocław University of Technology, Wroclaw, Poland
Michał Woźniak
Bibliographic Information
Book Title: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015
Editors: Robert Burduk, Konrad Jackowski, Marek Kurzyński, Michał Woźniak, Andrzej Żołnierek
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-26227-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-26225-3Published: 05 March 2016
eBook ISBN: 978-3-319-26227-7Published: 05 March 2016
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIV, 855
Number of Illustrations: 134 b/w illustrations, 145 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Pattern Recognition