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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
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 RGB-D
perception: recent developments and 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.
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Intelligent Data Engineering and Automated Learning - IDEAL 2015 - 16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings (Paperback, 1st ed. 2015)
Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yin
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R3,297
Discovery Miles 32 970
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 16th
International Conference on Intelligent Data Engineering and
Automated Learning, IDEAL 2015, held in Wroclaw, Poland, in October
2015. The 64 revised full papers presented were carefully reviewed
and selected from 127 submissions. These papers provided a valuable
collection of recent research outcomes in data engineering and
automated learning, from methodologies, frameworks, and techniques
to applications. In addition to various topics such as evolutionary
algorithms, neural networks, probabilistic modeling, swarm
intelligent, multi-objective optimization, and practical
applications in regression, classification, clustering, biological
data processing, text processing, video analysis, IDEAL 2015 also
featured a number of special sessions on several emerging topics
such as computational intelligence for optimization of
communication networks, discovering knowledge from data,
simulation-driven DES-like modeling and performance evaluation, and
intelligent applications in real-world problems.
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