Type-2 Fuzzy Graphical Models for Pattern Recognition / Studies in Computational Intelligence Bd.591 (PDF)
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This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also providing a comprehensive introduction to the fields of type-2 fuzzy sets and graphical models. Though primarily intended for graduate students, researchers and practitioners in fuzzy logic and pattern recognition, the book can also serve as a valuable reference work for researchers without any previous knowledge of these fields. Dr. Jia Zeng is a Professor at the School of Computer Science and Technology, Soochow University, China. Dr. Zhi-Qiang Liu is a Professor at the School of Creative Media, City University of Hong Kong, China.
Prof Zhi-Qiang LIU received the M.A.Sc. degree in Aerospace Engineering from the Institute for Aerospace Studies, the University of Toronto, and the Ph.D. degree in Electrical Engineering from The University of Alberta, Canada. He is currently at the School of Creative Media, City University of Hong Kong. He has taught computer architecture, computer networks, artificial intelligence, programming languages, machine learning, pattern recognition, computer graphics, and art & technology. His interests are neural-fuzzy systems, machine learning, media computing and computer vision.
- Autoren: Jia Zeng , Zhi-Qiang Liu
- 2014, 2015, 201 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3662446901
- ISBN-13: 9783662446904
- Erscheinungsdatum: 17.09.2014
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- Dateiformat: PDF
- Grösse: 9.43 MB
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